Basic designs of high-speed EMs.
\r\n\tThe search for more modern models and techniques to monitor water quality and improve water treatment techniques is a challenging mission for scientists in the field. This book will present trends and advances in the area of water quality.
\r\n\r\n\tThe areas that this book will integrate are: pollution by metals in water, pollution by hydrocarbons in water, pollution by pesticides in water, pollution by emerging micro-pollutants in water, pollution by microorganisms in water, advances in analytical chemistry in assessing water quality, advances in microbiology in water quality, sediment-water interaction, particulate material and water interaction, effluent water, water biomonitoring, statistical treatment of water quality data, human water supply, wastewater treatment plants, bioremediation, physical-chemical treatments, groundwater pollution, urban river pollution, water and circular economy.
\r\n\r\n\tWith the themes presented, this book aims to provide the reader with a comprehensive overview of the current state of the art in water quality, presenting an adequate and viable path to follow.
",isbn:"978-1-83969-072-3",printIsbn:"978-1-83969-071-6",pdfIsbn:"978-1-83969-073-0",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,hash:"add02f40c29f68a0848e95f7256aa648",bookSignature:"Dr. Icaro Moreira and Dr. Adriana Ferreira",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10446.jpg",keywords:"Metals, Hydrocarbons, Microorganisms, Aquatic Flora and Fauna, Analytical Chemistry, Innovative Methods, Wastewater Treatment Plants, Bioremediation, Mangrove, Saline Water, Groundwater Pollution, Urban River Pollution",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 12th 2020",dateEndSecondStepPublish:"November 9th 2020",dateEndThirdStepPublish:"January 8th 2021",dateEndFourthStepPublish:"March 29th 2021",dateEndFifthStepPublish:"May 28th 2021",remainingDaysToSecondStep:"2 months",secondStepPassed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"A pioneering researcher in biotechnology and water quality, winner of international scientific awards, and holder of thirteen registered patents.",coeditorOneBiosketch:"Doctor in analytical chemistry with practical experience in laboratory work, currently on a position of a coordinator.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"319236",title:"Dr.",name:"Icaro",middleName:null,surname:"Moreira",slug:"icaro-moreira",fullName:"Icaro Moreira",profilePictureURL:"https://mts.intechopen.com/storage/users/319236/images/system/319236.jpg",biography:"Prof. Ph.D. Ícaro Thiago Andrade Moreira is currently adjunct professor at the Department of Environmental Engineering, Federal University Federal of Bahia, Brazil. He earned a BSc degree in Biological Science and a PhD from the University Federal of Bahia (with improvement in Canada), specializing in Environmental Geology, Hydrogeology and Water Resources. He has more than 14 years of teaching, research and extension experience. He is a technical and scientific consultant of several companies, agencies and scientific journals. Throughout his academic career, he has acquired many national and international research grants and carried out a number of research projects that have led to more than 400 publications in leading journals, books, and chapters in books and has registered 13 patents. He was the recipient of the best researcher award of MERCOSUR Science and Technology for 2015 in recognition of his outstanding research work in biotechnology, water quality and treatments technologies. He has been the Head of Green-Blue Microbiology Laboratory of LABDEA of UFBA, since 2019. His current research interests include water quality, biotechnolgy and bioeconomy.",institutionString:"Federal University of Bahia",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Federal University of Bahia",institutionURL:null,country:{name:"Brazil"}}}],coeditorOne:{id:"324879",title:"Dr.",name:"Adriana",middleName:null,surname:"Ferreira",slug:"adriana-ferreira",fullName:"Adriana Ferreira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002x89mXQAQ/Profile_Picture_1592550056501",biography:"Ms. Ferreira obtained her Chemistry Bachelor, Doctor and Master in Analytical Chemistry from the Federal University of Bahia - UFBA. Currently, at UFBA, she is an Adjunct Faculty Member at the Department of Environmental Engineering and a Faculty Member of the Masters in Environment, Water and Sanitation and the Management and Regulation of Water Resources. In addition to coordinating the Laboratory of the Department of Environmental Engineering, she serves as a technical manager of the Metrology laboratories at SENAI-BA and coordinates the environmental laboratories, her focus is on Spectroscopy (metal analysis) and General and Inorganic Chemistry (physical-chemical). Still at SENAI, she is also a coordinating proficiency testing provider involved in laboratory volumetric calibration. She has experience in the technical area of chemical tests on environmental samples, management of proficiency testing, chemical metrology and volumetric calibration. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"878",title:"Phytochemicals",subtitle:"A Global Perspective of Their Role in Nutrition and Health",isOpenForSubmission:!1,hash:"ec77671f63975ef2d16192897deb6835",slug:"phytochemicals-a-global-perspective-of-their-role-in-nutrition-and-health",bookSignature:"Venketeshwer Rao",coverURL:"https://cdn.intechopen.com/books/images_new/878.jpg",editedByType:"Edited by",editors:[{id:"82663",title:"Dr.",name:"Venketeshwer",surname:"Rao",slug:"venketeshwer-rao",fullName:"Venketeshwer Rao"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"4816",title:"Face Recognition",subtitle:null,isOpenForSubmission:!1,hash:"146063b5359146b7718ea86bad47c8eb",slug:"face_recognition",bookSignature:"Kresimir Delac and Mislav Grgic",coverURL:"https://cdn.intechopen.com/books/images_new/4816.jpg",editedByType:"Edited by",editors:[{id:"528",title:"Dr.",name:"Kresimir",surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3621",title:"Silver Nanoparticles",subtitle:null,isOpenForSubmission:!1,hash:null,slug:"silver-nanoparticles",bookSignature:"David Pozo Perez",coverURL:"https://cdn.intechopen.com/books/images_new/3621.jpg",editedByType:"Edited by",editors:[{id:"6667",title:"Dr.",name:"David",surname:"Pozo",slug:"david-pozo",fullName:"David Pozo"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"62857",title:"Basics of High-Speed Electrical Machines",doi:"10.5772/intechopen.78851",slug:"basics-of-high-speed-electrical-machines",body:'\nThe main task of electrical machine (EM) design is to provide maximum power with a minimum energy loss and volume of active and constructive elements. Reduction of the material consumption and the production technology improvement can significantly reduce the cost of electrical machines, and subsequently, the cost of the systems, where they are used (e.g., aircrafts and machine tools), or resources obtained with their help (e.g., electricity and oil). In addition, the development of new industries and the implementation of macro- and microresearch projects lead to an emergence of new tasks to reduce mass-and-size parameters and to increase the efficiency of electrical machines.
\nThe directions that allow the solution of these problems can be determined from the analysis of the mathematical formula proposed by Engelbert Arnold in 1896 [1]:
\nwhere P is EM power, A is a linear current load, \n
From Arnold’s equation, it can be seen that at the invariable volume of the EM elements, its power can be increased in three ways or their combinations: to increase linear current load, to increase magnetic flux density in an air gap, and to increase rotational speed of EM rotor.
\nAll these three ways have found the niche in different industries. One of the directions is the high-speed and ultra-high-speed EMs, which are widely used in machine tools, aerospace engineering, autonomous power engineering, etc. In this chapter, high-speed and ultra-high-speed EMs are frequency-controlled EMs with high-coercitivity permanent magnets (HCPM). Section 2 presets the classification of high-speed EMs. The main application areas are presented in Section 3. Section 4 is devoted to calculation of losses and efficiency of the high-speed EMs.
\nTo develop and generalize the high-speed EM theory, their classification should be considered. In general, high-speed EMs can be classified according to the operation principle, design features, frequency or output voltage, the stator type (slotted or slotless), etc. Table 1 shows the basic designs of high-speed EMs. The slotless stator designs are not given in Table 1. However, the design nos. 1–6 and 8–12 can be made with a slotless stator. The hysteresis motor designs are not presented in Table 1, although they are also high speed and are used in gyroscopes.
\nBasic designs of high-speed EMs.
High-speed EM with electromagnetic excitation and designs nos. 5, 8, 9, 10, 11 are inferior to the high-speed EM with HCPM for reliability, specific parameters, and efficiency. However, they have some development prospects; for example, the design possibility of high-speed EM with rotating rectifiers and a rotational speed of 50,000 rpm is presented in [1, 2].
\nAxial EMs with HCPM can be promising for power supply systems for rocket and space equipment due to their small axial dimensions. The design and prospect review of axial EMs are presented in [3, 4]. At the same time, axial EMs have been created with rotational speed of 30,000–48,000 rpm.
\nIn addition, the use of HCPM made of NdFeB and SmCo alloys for high-speed damping elements is promising to develop the space systems due to improving their energy characteristics [5]. To develop the alternative energy, the ship and transport systems (railway trains), including the cargo location tracking, the use of single-coordinate and multicoordinate vibrational EMs with HCPM is of interest [6, 7]. To develop the ship power supply systems, energy conversion systems of detonation engines and automotive systems, the use of high-speed linear EM with HCPM as the main generators of the power supply system is topical.
\nThe presented classification shows that areas and prospects for the use of high-speed EM with HCPM are quite broad. The improvement of this EM type leads to an expansion of its application areas. Therefore, it seems expedient to consider in more detail the application areas of high-speed EM and to reveal their development prospects.
\nTo use the high-speed EMs, it is necessary to have a high-speed drive (for generator mode) or a high rotational speed (for motor mode). Therefore, the main application areas of high-speed EMs are high-speed machine tool, aviation and space power engineering, as well as autonomous power engineering. The initial application of high-speed EMs is associated with the development of rocket and space technology. High-speed induction and hysteresis motors with a rotational speed of 30,000–60,000 rpm have found wide application as a gyro-motor for spinning the gyroscope. In autonomous power engineering, high-speed EMs are developed as a microturbine component. Elliott Group serially produces decentralized power plants with 68,000-rpm magnetoelectric generators [8]. Capstone produces microturbines with high-speed magnetoelectric generators. A distinctive feature of these generators is that the rotor is installed on two air bearings, and the third air bearing is located between the compressor and turbine working wheels [9].
\nIn decentralized energy, the high-speed EMs have found a wide industrial application. Their development is aimed to reduce bearing losses, to increase the working temperature and efficiency. In addition, the high-speed EMs with a power below 250 kW find application in the power supply systems of aircrafts and space vehicles. There are two main variants of high-speed EMs for aircrafts: switched-reluctance EM and EM with HCPM. Comparison of these EM types is presented in different works. It is shown that the high-speed EMs with HCPM have smaller mass-and-size parameters than in switched-reluctance EMs. This determines their preferred use in aircrafts.
\nThe development of such industries as robotics, machine tool, turbomolecular pumps, high-tech medical equipment, etc. and the development of new-generation unmanned aircraft require the creation of ultra-high-speed EMs with a rotational speed from 200,000 to 1,000,000 rpm or more and a power from 50 W to 2 kW [10]. The main advantage of this EM type is a high power density with overall miniature dimensions, which causes wide prospects for their use in various microsystems. In addition, a significant advantage of ultra-high-speed EMs is the uniqueness of the tasks they solve. For example, the application of motor with a 400,000-rpm rotational speed in the machine tool improves the quality of surface treatment [11]. The 500-W microgenerator for an autonomous robotic complex allows abandoning battery cells that have high mass-and-size parameters. Table 2 shows a comparison of various electricity sources for the electrical supply of robots.
\nElectricity sources | \nPower-to-mass ratio [kW/kg] | \n
---|---|
Ultra-high-speed microgenerator with microturbine including the fuel mass | \n0.55 | \n
Batteries | \n0.50 | \n
Fuel cells | \n0.05 | \n
Ultra-high-speed microgenerator with flywheel system | \n0.50 | \n
Comparison of various electricity sources for the electrical supply of robots.
With all the technical advantages of ultra-high-speed EMs with HCPM, this area began to develop relatively recently. The development of this area was facilitated by the emergence of new electrical materials and the development of microelectronics. Therefore, theoretical studies on this topic are limited and represent a disparate material, which describes individual design solutions for ultra-high-speed EMs for a particular application. It is necessary to consider the main development trends of this EM type and to consider in more detail examples of their practical application.
\nOne of the application areas of ultra-high-speed EMs is autonomous system. Microturbines with ultra-high-speed EMs are planned to be used instead of storage batteries in robotic complexes, unmanned aerial vehicle, cryogenics, etc.
\nThe main developers of ultra-high-speed EMs for microturbine installations are several countries: Japan (IHI Corporation), France (Onera), Switzerland (Power Electronic Systems Laboratory and ETH Zurich), USA, Germany (High-Speed Turbomaschinen GMBH). It seems advisable to consider their development in more detail.
\nOnera [12] (France, DecaWatt research program) developed a microturbine system with a microgenerator. The purpose of the program is the creation of a microturbine engine with a power of 50–100 W to provide electrical energy for ammunition and equipment for future soldiers. The microgenerator has a power of 55 W and a rotational speed of 840,000 rpm. The generator tests were performed at a rotational speed of 700,000 rpm. It was used in the mechanical high-speed bearings. The pole number of this high-speed EM is equal to 1. The frequency of the output voltage is 14,000 Hz. Ultra-high-speed EMs should be considered as a complex of interconnected systems, since the full efficiency of a high-speed EM and mass-and-size parameters are determined not only by material parameters and geometric dimensions of EM but also by parameters of its control system. In addition, a separate EM with an output frequency of 14 kHz without a power electronics unit is unlikely to find practical application. A similar conclusion was noted in [13, 14]. To achieve the maximum efficiency, Onera used the following technical solutions: amorphous magnetic materials (AMM) as a stator core material to minimize stator losses; a slotless stator design to simplify the manufacturing technology of the stator magnetic core, to reduce the inductance of the stator winding scattering and to minimize the demagnetizing effect of the armature reaction; and a cylindrical permanent magnet (PM) to simplify the rotor manufacturing technology.
\nAccording to a similar technology, Power Electronic Systems Laboratory and ETH Zurich developed and implemented two ultra-high-speed PM starter-generators for microturbines [15, 16]; one of which has a power of 500 W and a rotational speed of 500,000 rpm, and the second one has a power of 1 kW and a rotational speed of 500,000 rpm. To implement the ultra-high-speed EM, Power Electronic Systems Laboratory and ETH Zurich used the same technical solutions as Onera. It was a slotless stator, a cylindrical PM and AMM were also used. For the implementation of the starter mode, sensorless control was used.
\nThe same technical solutions are used by High Speed Turbomaschiner, which develops a 150-W high-speed magnetoelectric EM with a rotational speed of 490,000 rpm [17]. The stator magnetic core is slotless and made of AMM.
\nIHI Corporation developed a microturbine system with a microgenerator [18]. It contains an oil-free gas turbine with a 400-W ultra-high-speed magnetoelectric generator integrated into it. The rotational speed of the microgenerator is 400,000 rpm. Kerosene, propane, light oil, etc. can be used as fuel in the proposed system. Expected applications are power generation for charging portable devices and the use as a power source for robots.
\nRobot/Mechatronics Research Center [19] is working on the development of a microturbine with a 500-W microgenerator with a rotational speed of 400,000 rpm for unmanned aerial vehicles and robotic complexes. The stator of this generator is made with six slots in which a three-phase winding is laid. The rotor sleeve is made of Inconel 718 alloy. The HCPM type is Sm2Co17. The disadvantages of this generator are the slotted stator design, which considerably complicates the manufacturing technology of the stator magnetic core made of AMM. If the AMM is not used as a stator core material, the hysteresis losses in the stator magnetic core can significantly reduce the efficiency. For unmanned aerial vehicles and robotic complexes, Stanford University and MDOT Aeronautics develops an ultra-high-speed permanent-magnet EM with a power of 400 W and a rotational speed of 800,000 rpm [20].
\nFor all the above-considered ultra-high-speed EMs for autonomous power supply systems, the shaft and the rotor back are made of nonmagnetic material to increase its mechanical strength. However, this leads to a decrease in its power and in the magnetic flux density in the EM air gap. Therefore, to increase the energy characteristics of ultra-high-speed EMs, it would be more expedient to use a magnetic material, for example, the cobalt alloy Vacodur S Plus, which is close to some titanium brands by its mechanical characteristics [1].
\nThus, the ultra-high-speed EMs for autonomous power supply systems are actively developing abroad. They all practically have a common design: a slotless stator made of AMM and a rotor with cylindrical HCPMs.
\nThe publication analysis shows that the research and optimization of the design of all the above-mentioned ultra-high-speed EMs was carried out together with power electronics and control systems [21]. The tendency to reduce number of manufactured parts in mechanical engineering by improving the quality of the treated surface poses the task of creating miniature machines and spindles of small power with ultra-high-speed EMs. In particular, [22] presents a design and prospects of using an ultra-high-speed EM with a 200,000-rpm rotational speed in machine tool to produce electronic components. The stator magnetic core is slotless and made of electrical steel 10SNEX 900 with a sheet thickness of 0.1 mm. The rotor speed is controlled by sensorless algorithms. The rotor sleeve is made of a carbon fiber.
\nWestwind [23] (United Kingdom) produces PCB spindles with ultra-high-speed EMs with rotational speeds from 85,000 to 370,000 rpm. All spindles are made with foil bearings. EMs with rotational speed of 370,000 rpm are used in a drilling machine to make holes with a diameter of 75 μm. In addition, ETH Zurich and Power Electronic Systems Laboratory [15] for the first time in the world developed a 100-W electrical motor with a rotational speed of 1,000,000 rpm, which was a breakthrough in rotational speeds of up to 1 million rpm. The electrical motor was made with HCPM and ceramic ball bearings.
\nOne of the important applications of ultra-high-speed EMs is a high-tech medical equipment. Ultra-high-speed EMs are used in blood pumps, dental instruments, surgical operations, etc. For example, Sinotech Motors [24] developed the ultra-high-speed EMs for blood pumps. These motors are slotless. Their control system is integrated, which allows achieving minimum mass-and-size parameters. Sirona has developed the ultra-high-speed EMs for dental instruments [25]. EM data are executed with rotational speeds from 250,000 to 400,000 rpm. In [26], the design of an ultra-high-speed medicine pump based on the ultra-high-speed EM with a rotational speed of 200,000 to 600,000 rpm is described. The stator design of this EM is also slotless. In addition, sensorless control methods are used.
\nTo analyze trends in the high-speed EMs, the EM parameters are listed in Table 3. It shows that all ultra-high-speed EMs are operated jointly with power electronics and control systems, which confirms the need to study them not as a separate electrical machine. In addition, all ultra-high-speed EMs have HCPMs, and their stators are slotless.
\nParameter | \nOnera | \nETH | \nRobot/mechatronics research center | \nElectric motor | \n
---|---|---|---|---|
EM type | \nPM generator | \nPM generator | \nPM generator | \nPM motor | \n
Power [W] | \n55 | \n1000 | \n500 | \n— | \n
Rotational speed [rpm] | \n800,000 | \n300,000–500,000 | \n400,000 | \n200,000 | \n
The need of a control system | \nYes | \nYes | \nYes | \nYes | \n
Stator design | \nSlotless | \nSlotless | \nSlotted | \nSlotless | \n
Stator magnetic core material | \nAMM | \nAMM | \n— | \nElectrical steel 10SNEX 900 with a sheet thickness of 0.1 mm | \n
Parameters of ultra-high-speed EMs.
The EM efficiency is one of the main EM parameters and largely determines the EM design. For example, to increase the EM efficiency, slot skewing or contactless bearings are used, i.e., technical solutions that lead to the complication of the EM design and the production technology. Therefore, for the economic and technical justification of these complications, it is especially important to determine the EM losses and to select the effective EM design.
\nTotal winding losses in the high-speed EM can be present as follow:
\nwhere \n
Due to the uneven magnetization of the HCPM and the nonlinearity of loads, the current curve differs from the sinusoidal, i.e., the third, fifth, seventh spatial harmonics have appeared. In this case, the total winding losses are formed as the sum of the losses from these harmonics:
\nwhere \n
To determine the eddy-current losses in winding, the following equation can be used:
\nwhere \n
The maximum value of the eddy-current losses in the winding is in the slotless EM design. For the slotted EMs, they are much smaller, but they also require calculation to determine and select the optimal cooling system. The most convenient calculation way is the computer simulation of the EM magnetic field and determination of the magnetic field crossing the winding in the slots. Analytical calculation methods are known, but they are cumbersome for engineering calculations.
\nTo determine the stator core losses in the EM, there is no general calculation methodology. In [27, 28], to determine the stator core losses in a wide frequency range, the following equation is proposed:
\nwhere \n
For a frequency of 400 Hz or more, the following equation [29, 30] is recommended for the stator core loss calculation:
\nwhere \n
In [31], the following equation was proposed to determine the stator core losses:
\nwhere β = 1.7–2; \n
A method for determining the stator core losses is proposed in [32], in which three coefficients characterizing the properties of the stator core material are used: the hysteresis loss coefficient \n
These coefficients are often indicated by manufacturers of electrotechnical steels and soft magnetic alloys.
\nIn [22], an empirical equation is presented for calculating the stator core losses of high-speed EM, which is the approximated dependence of the stator core losses on the current frequency of the 10JNEX900 steel:
\nFor analytical calculations of the stator core losses in the high-speed EMs in a wide frequency range, Eq. (5) is the most optimal. Coefficients of this equation should be determined based on the experimental studies or data of the specialized literature.
\nDuring the operation of the EM with HCPM, their stator core will heat up under the influence of the ambient temperature, and because of the specific losses. An increase in the stator core temperature leads to a change in its magnetic properties. Therefore, it is necessary to evaluate the effect of the EM temperature on the stator core losses.
\nMeasurements of the stator core losses were made under normal climatic conditions at sample temperatures below 23°C, relative air humidity of 25%, and at a temperature below 70°C. For studies at a temperature below 70°C, the sample was heated in a muffle furnace. Then, it was repeatedly measured in a cold state at a temperature below 23°C. Experimental studies have measured specific losses at different temperatures in two annular samples made of AMM (type E and type T of 5BDSR grade) produced by the Ashinsky metallurgical plant (Russia). The saturation magnetic flux density of these AMMs is 1.3 T. The experimental results at a magnetic flux density of 0.5 T are shown in Figure 1. It shows that with the temperature increase of the stator core made of AMM, 5BCDR grade, type T (linear hysteresis loop) to 50°C, the stator core losses decrease by 15%. For temperature increase of the stator core made of AMM, 5BCDR grade, type E (rectangular hysteresis loop) to 50°C, the stator core losses decrease by 14%. Thus, with the temperature increase of the stator core made of AMM, its losses decrease by 15%.
\nDependence of the stator core losses on the frequency: curve 1 is for AMM, 5BCDR grade, type T at 20°C; curve 2 is for AMM, 5BCDR grade, type E at 20°C; curve 3 is for AMM, 5BCDR grade, type T at 70°C; and curve 4 is for AMM, 5BCDR grade, type E at 70°C.
In addition to changing the losses in the EM stator core due to its heating, the losses in the EM stator core during operation will also decrease due to the decrease in the HCPM energy characteristics, and, accordingly, in magnetic flux density of the stator core. The study of this process will be given below. To assess this decrease, a computer model was developed in the Ansoft Maxwell software package, and a computer simulation for the magnetic field distribution along the section of the EM stator core was made. Simulation results for EM at a temperature of 23°C are presented in Figure 2. It was found that with an increase of the HCPM to 150°C, the magnetic flux density in the stator core decreases by 6–6.5%. Taking into account the dependence of the stator core losses on magnetic flux density for various materials, this can lead to reducing losses in the stator core by 13–15%. Thus, heating of the stator core leads to a significant loss reduction in the EM.
\nSimulation results for EM at a temperature of 23°C.
In the high-speed EMs, spatial harmonics caused by the EM design, the winding type, or the distribution coefficient, as well as the time harmonics caused by an external circuit (for example, an inverter or rectifier) will induce significant eddy-current losses in the rotor sleeve or HCPM. This can lead to overheating of the HCPM and to demagnetization of the HCPM. To reduce these losses, HCPMs are usually laminated in the axial direction. To determine these losses, it is necessary to determine separately the losses due to time harmonics (external circuit) and losses due to spatial harmonics (EM design features). Usually, losses caused by time harmonics are greater than the losses caused by spatial harmonics. This statement is valid only for a number of the high-speed EM designs. For example, the EM with a tooth-coil winding has significant spatial harmonics, and losses caused by these harmonics are higher than the losses caused by time harmonics.
\nIn the literature, there is no unambiguous opinion on the loss nature. Some authors argue that the losses in the HCPM are only due to eddy currents. At the same time, several authors argue that these losses are caused by eddy currents and magnetization reversal. In this chapter, the losses in the HCPM and rotor sleeve are considered as created only by eddy currents.
Eddy-current losses in the HCPM and rotor sleeve created by time harmonics. As noted above, these losses are formed by an external circuit (rectifier or inverter), which are installed at the EM output for transmission to a standard frequency network. The EM calculation scheme is presented in Figure 3. To estimate these losses, expressions obtained by Poliender are convenient to use:
where \n
EM calculation scheme.
To determine the magnetic flux density produced by time harmonics, it is necessary to understand the time harmonics magnitude produced by different types of nonlinear load in the EM windings. To solve this problem, a simulation EM model with an external network was developed in the LTSpice IV. It contains a three-phase EM with HCPM, an uncontrolled rectifier, and a DC load (Figure 4). The EM was represented by three single-phase sources and three pairs of magnetically coupled inductors forming a three-phase voltage.
\nEM simulation model with external network for determining time harmonics and losses generated by them.
Simulation was carried out for a system with a three-phase 115/200 V source (EM with HCPM) with a frequency of 400 Hz, a grounded neutral and a load connected via a single-phase or a three-phase rectifier. In Figures 5 and 6, the simulated circuits for the inclusion of three-phase and single-phase nonlinear loads are presented. As a simulation result, the current and voltage curves of the EM and the load are shown in Figures 7–14.
\nThe simulated circuits for the inclusion of three-phase nonlinear loads: (a) active load, (b) active-capacitive load, (c) active-inductive load, and (d) active-inductive-capacitive load.
The simulated circuits for the inclusion of single-phase nonlinear loads: (a) active load, (b) active-capacitive load, (c) active-inductive load, and (d) active-inductive-capacitive load.
Curves of the voltage, total current, and fundamental current harmonic for the circuit in Figure 5a.
Curves of the voltage, total current, and fundamental current harmonic for the circuit in Figure 5b.
Curves of the voltage, total current, and fundamental current harmonic for the circuit in Figure 5c.
Curves of the voltage, total current, and fundamental current harmonic for the circuit in Figure 5d.
Curves of the voltage, total current, and fundamental current harmonic for the circuit in Figure 6a.
Curves of the voltage, total current, and fundamental current harmonic for the circuit in Figure 6b.
Curves of the voltage, total current, and fundamental current harmonic for the circuit in Figure 6c.
Curves of the voltage, total current, and fundamental current harmonic for the circuit in Figure 6d.
To simplify the comparative analysis and to determine the influence of a certain nonlinear load inclusion scheme, the obtained data were summarized in Table 4. It shows that when a three-phase rectifier is connected, the phase current of the EM with the HCPM contains spatial harmonics with the numbers 5, 7, 11, 13, 17, 19 in addition to the fundamental harmonic. Harmonics that are multiples of three are absent. For the studied numerical parameters, the worst case scenario is for a three-phase active-capacitive load and a single-phase active-capacitive load. In this case, the harmonic coefficient reaches 95.2%. For an active nonlinear three-phase load, the total harmonic distortion (THD) is 29%. For an active-inductive nonlinear load, the THD is 31.1%. It is obvious that the voltage harmonic composition of the EM with nonlinear load characterizes the harmonic composition of the magnetic flux density created by the time harmonics.
\nScheme | \nTotal power [kVA] | \nPower [kW] | \nсos φ | \ncos φ(1) | \nTHD [%] | \n
---|---|---|---|---|---|
Three-phase active load | \n18.0 | \n17.3 | \n0.96 | \n1.00 | \n29.0 | \n
Three-phase active-capacitive load | \n24.7 | \n17.5 | \n0.71 | \n0.99 | \n95.2 | \n
Three-phase active-inductive load | \n17.9 | \n17.1 | \n0.95 | \n1.00 | \n31.3 | \n
Three-phase active-inductive-capacitive load | \n18.0 | \n17.1 | \n0.95 | \n1.00 | \n31.7 | \n
Single-phase active load | \n3.1 | \n3.1 | \n1.00 | \n1.00 | \n2.4 | \n
Single-phase active-capacitive load | \n6.9 | \n4.5 | \n0.65 | \n0.90 | \n93.3 | \n
Single-phase active-inductive load | \n3.1 | \n3.1 | \n1.00 | \n1.00 | \n3.6 | \n
Single-phase active-inductive-capacitive load | \n6.2 | \n4.7 | \n0.76 | \n0.97 | \n76.9 | \n
Comparison of simulation results of connection schemes.
To confirm the computer simulation data, an experimental setup was developed. It consists of a DC motor with independent excitation, EM, pulse width modulation (PWM) controller of the rotational speed for the DC motor, and rectifier with an active load. The PWM controller sets the rotational speed of DC motor, which the armature winding is connected to the PWM controller. The excitation winding is supplied from a constant current source with a voltage of 27 V and a current of 2 A. The PWM controller is powered by a 27 V DC source with a current of 15 A. The DC shaft is mechanically connected to the EM shaft. The rotational speed of EM is 8000 rpm, the output voltage is 36 V, and the output current is 3.2 A. The outputs of the EM stator winding through a three-phase rectifier are connected to a resistive load of 100 W with the LTS-6NP-type series-connected current transformers.
\nThe experimental results correspond to the simulation data, which indicate the adequacy of the developed simulation model and the obtained theoretical results: the frequency of the fundamental harmonic is 396 Hz, THD is 29.6%, cos φ = 0.95, and cos φ(1) = 1.0.
\nIn addition, it is possible to determine the losses in the HCPM and rotor sleeve by using the obtained data. For example, calculations were made for EM with rotational speeds of 5000 and 32,000 rpm at active-inductive load. It was found that for nonlaminated HCPM, the eddy-current losses are above 280 W at a frequency of 5000 rpm and above 8 W at a frequency of 32,000 rpm.
Eddy-current losses in the HCPM and rotor sleeve created by spatial harmonics. These losses are determined by the slot type, the slot size, and the winding type; i.e., it depends on many different factors. Analytically, the definition of these losses is difficult and does not give the necessary accuracy. Therefore, it is more expedient to use the finite element method (FEM) to analyze the losses in the HCPM and rotor sleeve.
To solve this task in Ansys Maxwell software package, it is necessary to specify the specific HCPM conductivity. It is 1,100,000 S/m for SmCo and 625,000 S/m for NdFeB. In the project window, in the excitation section, the eddy-current calculation (Set Eddy Effects) is carried out, and HCPM and the rotor sleeve are selected. In a simulation result, the distribution of eddy-current losses in the HCPM and rotor sleeve on the spatial harmonics will be obtained in the Fields Overlaps-Field-Ohmic_loss tab. Figures 15–17 show the distribution of the magnetic field and the eddy-current losses in the HCPM caused by spatial harmonics for 250-kW 60,000-rpm EMs with a distributed winding, a tooth-coil winding, and a slotless design. The number of pole pairs for all considered EMs was equal to 4. In addition, the minimum eddy-current losses in the HCPM caused by spatial harmonics have the slotless EM and the EM with a distributed winding. The maximum eddy-current has the EM with a tooth-coil winding. The difference between the losses in EM with distributed and tooth-coil winding is above 500%. Therefore, it is obvious that in the high-speed EMs with a tooth-coil winding, the eddy-current losses in the HCPM caused by spatial harmonics exceed the eddy-current losses in the HCPM and the rotor sleeve caused by time harmonics.
\nDistribution of the magnetic field (a) and the eddy-current losses (b) in the HCPM of the slotless EM with a distributed winding.
Distribution of the magnetic field and the eddy-current losses in the HCPM of the slotless EM with a tooth-coil winding.
Distribution of the magnetic field (a) and the eddy-current losses (b) in the HCPM of the slotless EM.
In addition, it seems advisable to estimate the influence of the rotor magnetic system (MS) type on the eddy-current losses of HCPM in the high-speed EM.
\nThis task was also solved by computer simulation methods. The results are shown in Figure 18. It can be seen that the MS type does not significantly affect the HCPM losses. This is explained by the fact that the HCPM losses are formed by the stator magnetic field. In the case of a constant slot zone, the stator magnetic field remains unchanged. With an increase in the rotational speed, the HCPM losses have a maximum point, after which they begin to decrease. This is because with rotational speed increase, the magnetic field penetration depth in the HCPM and rotor sleeve is reduced, and thereby the losses are reduced. Thus, the MS type has no significant effect. The eddy-current losses in the HCPM can vary considerably due to the change in the load angle. This should be taken into account in the design of the EM with HCPM.
\nDependence of eddy-current losses in the HCPM on the frequency and MS type: A—MS with cylindrical HCPM and B—MS with semicircular HCPM.
The reduction of the eddy-current losses in the HCPM and rotor sleeve of the high-speed EMs can be achieved by the following ways.
\nFor losses created by time harmonics:
increasing the number of phases and thereby reducing pulsations,
lamination of the HCPM and rotor sleeve in the axial direction,
increasing the air gap and reducing the magnetic field penetration depth into the HCPM and the rotor sleeve.
For losses created by spatial harmonics:
slot skewing and the selection of a large winding distribution coefficient,
lamination of the HCPM and rotor sleeve in the axial direction,
increasing the air gap and reducing the magnetic field penetration depth into the HCPM and the rotor sleeve.
For the EM with a tooth-coil winding, the minimization of the eddy-current losses created by spatial harmonics can be achieved by the correct selection of the number of stator slots and the number of rotor poles.
\nFor limited axial dimensions of the EM rotor and insignificant bearing removal from the HCPM in the high-speed EM, the bearing balls can be magnetized under the influence of the HCPM stray magnetic field. In a result, eddy currents are induced. This leads to overheating of the bearing caused by its hysteresis losses. With increase in the rotational speed, the overheating increases significantly. Therefore, the study of these processes is important for the high-speed EMs.
\nThe magnitude of the magnetic field flowing through the bearing is determined by the bearing removal from the HCPM. For a numerical evaluation, a computer simulation of the three-dimensional magnetic field of the EM with HCPM was performed. The results of this simulation are presented in Figure 19. It shows that the magnetic flux density is 0.32 T at a distance from HCPM. That is quite a sufficient value for the magnetization of the bearing balls and the appearance of eddy-current losses in the bearing.
\nThe three-dimensional magnetic field of the EM with HCPM.
The object of study is the EM with HCPM. The geometric dimensions of the rotor are shown in Figure 20. The shaft is made of steel with a saturation magnetic flux density of 1.7 T. In this case, the effective value of magnetic flux density in the rotor steel is close to saturation (1.6–1.65 T).
\nCalculation and experimental models of the research object.
The following assumptions are used:
the magnetic permeability of the environment and air gap is equal to the magnetic permeability of the vacuum; and the magnetic permeability of the magnetic core, shaft, and bearings are equal to infinity;
the stator winding is represented as a thin electrically conductive layer distributed along the stator core diameter;
the density of the induced currents along the winding and bearing is constant;
the mutual influence of temperature and magnetic fields is not taken into account;
the influence of winding ends on the ball bearing magnetization is not taken into account.
To develop analytical equations for the loss analysis in the bearing, the EM calculation scheme presented in Figure 21 is considered.
\nThe EM calculation scheme.
The mathematical analysis of eddy-current losses includes the determination of the three magnetic field components of the EM with the finite-length HCPM. Maxwell’s equations are considered here:
\nwhere \n
Since there are no currents in the air gap \n
The components Нх, Ну, Нz provide the continuity conditions of the magnetic field lines, while Нz provides the energy conversion.
\nThe magnetic field on the HCPM surface is given as a normal tension component:
\nwhere \n
The mathematical description of HCPM is represented as a dependence of the coercive force, residual magnetic flux density, and magnetization:
\nwhere \n
The solution of Laplace\'s equations is sought in the form:
\nThe initial conditions determine the integration constants:
\n\n
\n\n
\n\n
Then:
\nEqual terms can be obtained for the same functions \n
Hence, the following is obtained:
\nTaking into account the relations for \n
It is obvious that the component \n
Calculation scheme of the bearing.
The resulting bearing magnetic field can be represented by the sum of two magnetic fields: bearing ball field and bearing cage field: \n
The system of Maxwell’s equations for the bearing is presented as:
\nThe field on the bearing ball surface (primary field) is presented as following:
\nSolving the system of Maxwell’s equations concerning the intensity of the secondary field, there is the following:
\nThe final solution of this system is not given here. The losses in the bearing cage are determined based on that \n
Losses in the bearing cage are defined as \n
where \n
The developed mathematical equations provide a general understanding of the loss occurrence processes in the bearing cage. They are obtained with a variety of assumptions, and the main one is that the number of poles is equal to the number of bearing balls. Therefore, the developed mathematical apparatus can be used for preliminary loss calculations in bearings and the selection of their location on the shaft of the EM with the HCPM.
\nIn addition to energy losses in the stator windings and stator сore, windage losses are important to determine the efficiency of high-speed EMs with slotted and slotless stator design. Winding loss analysis is considered in different works. In [29], the model proposed takes into account the effect of environmental pressure on the windage losses. Another model proposed in [33] describes the winding losses that are analogous to the model proposed by M. Mack, which has experimental confirmation to use in the EM. In this model, winding losses are determined by the equation:
\nwhere \n
This model does not take into account the windage loss dependence on the environment pressure, the air gap temperature, and the stator and rotor slots, for example in the induction EMs. Analysis of Eq. (7) shows that the winding losses depend to the rotational speed. Consequently, the negligence of the air gap temperature, pressure and structural features of the stator, and rotor can cause errors in calculations and can also lead to incorrect selection of the rotor design and to decrease the efficiency of the high-speed EM.
\nThus, this model needs refinements. For this, two designs are considered: EM with a smooth rotor and a slotted stator and EM with a slotted rotor and a slotted stator (Figure 23).
\nEM designs: (а) smooth rotor and slotted stator and (b) slotted rotor and slotted stator.
The friction coefficient is determined by the Reynolds and Taylor numbers:
\nwhere \n
The model with a smooth rotor and a slotted stator is initially considered. The space between the stator and the rotor is represented in the form of two zones: a tooth and a slot, each of which is characterized by a different air gap.
\nThe friction coefficient for slot zone is considered as following:
\nwhere \n
For the tooth zone, the friction coefficient is determined from Eq. (9).
\nTaking into account that the kinematic air viscosity depends on its temperature, the Reynolds number can be rewritten in a general form:
\nwhere \n
Taking into account that the air density also depends on the temperature, the windage losses for the slot zone are determined in the following form:
\nand, accordingly, for the tooth zone:
\nwhere z is a number of stator teeth, \n
Taking into account that the air temperature is the same over the entire surface of the air gap, the total windage losses in the design of Figure 23a are defined as:
\nAs examples, the energy loss calculations of the EM rotors have been performed at various temperatures in the air gap. The calculations were carried out using two EMs produced by Turbec, which are used in microturbine installations T-100: the 100-kW 60,000-rpm EM with a rotor diameter of 60 mm and the 100-W 500,000 rpm micro-EM with a rotor diameter of 5 mm.
\nThus, calculations show that the windage losses largely depend on temperature. With a temperature increase in the air gap from 20 to 60°C, the windage losses increase by 6–7%. The known models of windage losses have a significant error because they do not take into account the stator slots, as well as the temperature influence and pressure in the air gap. Minimal windage losses occur when the inner stator surface is smooth, for example, when slots are filled with a compound.
\nMinimization of winding losses caused by the stator slots can be achieved by pouring the stator teeth with a compound, or by performing closed stator slots, or by inserting a screen over the entire surface of the air gap. At the same time, the screen will be a technological complication of the EM design. And if it is made of an electrically conductive material, eddy currents will be induced in it and will significantly reduce its efficiency.
\nFor the slotted rotor, the winding loss calculation is similar. However, the slotted rotor surface will cause additional winding losses. Therefore, the rotor and stator surfaces should be smooth; that is, the slots should be filled with a compound or other nonelectrically conductive substances with minimal mass parameters.
\nMinimal winding losses can be achieved by the operation of high-speed EM with HCPM in vacuum, but it should be taken into account that only certain bearing designs can work stably in a vacuum.
\nThe efficiency of high-speed EM is determined by the well-known formula:
\nwhere \n
The efficiency of modern EMs reaches high values from 90 to 95%. Even the well-known ultra-high-speed EMs with a rotational speed of up to 800,000 rpm and a power of 50–500 W have an efficiency of 80–90%. The main losses that significantly reduce the efficiency of high-speed EM are the stator magnetic core losses, which increase significantly with increasing magnetization reversal frequency, windage losses, and bearing losses. To reduce these losses and increase the efficiency of ultra-high-speed EMs, various technical solutions are used. For example, AMMs are used to reduce losses in the stator magnetic core. To reduce the friction losses in the rotor, various antifriction coatings or vacuuming of the internal EM cavity are used. To minimize bearing losses, contactless bearings are used.
\nAs it was shown in the previous sections, the EM temperature has a significant effect on the losses in various EM active elements. Heating of electrical steel leads to a decrease in its specific losses; increasing of the rotor temperature leads to an increase in the friction losses; and heating the winding leads to an increase in resistance. Thus, the EM efficiency is significantly dependent on temperature. Therefore, it seems reasonable to evaluate the dependence of the EM efficiency on temperature. An analysis of the dependence of the EM efficiency on temperature was made by using the example of the high-speed micro-EM produced by Onera [12]. The parameters of this micro-EM are presented in Table 5.
\nParameters | \nValue | \n
---|---|
Power [W] | \n55 | \n
Rotational speed [rpm] | \n840,000 | \n
Outer stator diameter [mm] | \n25 | \n
Active length [mm] | \n22 | \n
Shaft diameter [mm] | \n4.5 | \n
Efficiency [%] | \n91 | \n
Bearing losses [W] | \n9.7–9.8 | \n
Stator magnetic core losses [W] | \n0.18 | \n
Friction losses [W] | \n2.63 | \n
Winding losses [W] | \n2.33 | \n
Total losses [W] | \n14.84 | \n
Parameters of the high-speed micro-EM produced by Onera.
It is important to notice that the main consumers of micro-EMs are systems with constant power consumption such as computer systems, navigation systems of unmanned aircrafts. This type of load will lead to the fact that with the decrease of the HCPM energy characteristics, the magnetic flux density in the air gap decreases under the temperature influence. In the calculation result, it was found that for the indicated numerical parameters, the magnetic flux density in the air gap will decrease by 6% at a temperature of 150°C. Under conditions of constant input mechanical power and constant electric power consumption, this will lead to an increase in the linear current load of EM and the current value by also 6%. Taking into account that the copper resistance at a temperature of 100–110°С will also increase by 38%, the winding losses will increase by 55%.
\nTo evaluate the change in the linear current load and the magnetic flux density, an idealized linear dependence of the current and magnetic flux density in the air gap of the micro-EM was adopted. In real EMs, an increase in the linear current load will lead to an increase in the demagnetizing armature reaction action, to additional winding heating, and, consequently, to an increase in the resistance caused by this heating. Preliminary calculations show that in the cold state and 10 min after the start of operation, the winding losses of the real EM can differ by 60–65%. The efficiency comparison of the micro-EM in the cold and heated states (after 10 min of operation without a cooling system) is presented in Table 6. With the increase in the EM heat emissions, losses in the active elements increase and, accordingly, the EM efficiency decreases. For the studied numerical values, the efficiency of the micro-EM decreases by 2.8%. This suggests that in the EM design, the efficiency should be calculated at the operating temperature.
\nLosses | \nTemperature of the active parts is below 23°C | \nTemperature of the active parts is 100–110°С after 10 min of operation without a cooling system | \n
---|---|---|
Stator magnetic core losses [W] | \n0.18 | \n0.13 | \n
Friction losses [W] | \n2.63 | \n3.02 | \n
Winding losses [W] | \n2.33 | \n3.88 | \n
Efficiency without the bearing losses [%] | \n91.4 | \n88.6 | \n
The efficiency comparison of the micro-EM in the cold state and after 10 min of operation without a cooling system.
In this chapter, basics of high-speed EMs with HCPM are presented. The application areas of high-speed EMs are shown. The EM classification is proposed to generalize the theory of high-speed EMs. Practical recommendations for the selection of active and structural components of high-speed EMs are given. The loss determination in high-speed EMs is presented, including methods for determining losses in the stator magnetic cores at high frequencies.
\nThe obtained results can be used in practice in the EM design and in further research.
\nFor a long time, studies on q-difference equations appeared in intensive works especially by F. H. Jackson [1, 2], R. D. Carmichael [3], T. E. Mason [4], and other authors [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]. An intensive and somewhat surprising interest in q-numbers appeared in many areas of mathematics and applications including q-difference equations, special functions, q-combinatorics, q-integrable systems, variational q-calculus, q-series, and so on. In this paper, we introduce some basic definitions and theorems (see [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]).
\nFor any \n
Definition 1.1. [1, 2, 9, 13] The q-derivative operator of any function f is defined by
and \n
Definition 1.2. [1, 2, 9, 13, 17] We define the q-integral as
If this function, f(x), is differentiable on the point x, the q-derivative in Definition 1.1 goes to the ordinary derivative in the classical analysis when \n
Definition 1.3. [5, 17, 18, 21] The Gaussian binomial coefficients are defined by
where m and r are non-negative integers. For \n
Theorem 1.4. Let n, k be non-negative integers. Then we get.
\n
\n\n
Definition 1.5. [5, 26] Let z be any complex number with \n
Bernoulli, Euler, and Genocchi polynomials have been studied extensively by many mathematicians(see [22, 23, 24, 25]). In 2013, C. S. Ryoo introduced tangent polynomials and he developed several properties of these polynomials (see [22, 23]). The tangent numbers are closely related to Euler numbers.
\nDefinition 1.6. [22, 23, 24, 25] Tangent numbers Tn and tangent polynomials \n
Theorem 1.7. For any positive integer n, we have
Theorem 1.8. For any positive integer \n
Theorem 1.9. For \n
The main aim of this paper is to extend tangent numbers and polynomials, and study some of their properties. Our paper is organized as follows: In Section 2, we define q-tangent polynomials and find some properties of these polynomials. We consider q-tangent polynomials in two parameters and establish some relations between q-tangent polynomials and q-Euler or Bernoulli polynomials. In Section 3, we observe approximate roots distributions of q-tangent polynomials and demonstrate interesting phenomenon.
\nIn this section we define the q-tangent numbers and polynomials and establish some of their basic properties. we shall also study the q-tangent polynomials involving two parameters. We shall find some important relations between these polynomials and q-other polynomials.
\nDefinition 2.1. For \n
From Definition 2.1, it follows that
where \n
Theorem 2.2. Let \n
Proof. From the Definition 2.1, we have
Now comparing the coefficients of tn we find (i). For (ii) we use the relation
and again compare the coefficients of tn.☐
\nTheorem 2.3. Let n be a non-negative integer. Then, the following holds
Proof. From the definition of the q-exponential function, we have
The required relation now follows on comparing the coefficients of tn on both sides.☐
\nTheorem 2.4. Let n be a non-negative integer. Then, the following holds
Proof. From the property of q-exponential function, it follows that
The required relation now follows immediately.☐
\nIn what follows, we consider q-derivative of \n
If (ii) is true, then it follows that.
We are now in the position to prove the following theorem.
\nTheorem 2.5. For \n
Proof. Considering q-derivative of \n
which immediately gives the required result.☐
\nTheorem 2.6. Let a, b be any real numbers. Then, we have
Proof. From Theorem 2.3, we find
☐
\nDefinition 2.7. For \n
From the Definition 2.7, it is clear that
where \n
where \n
Theorem 2.8. Let \n
Proof. From the Definition 2.7, we have
Using Cauchy’s product and the method of coefficient comparison in the above relation, we find (i). Next, we transform q-tangent polynomials in two parameters as
Now following same procedure as in (i), we obtain (ii).☐
\nTheorem 2.9. Setting \n
Proof. Using q-tangent polynomials and its polynomials with two parameters, we have
Now from the definition of q-exponential function, the required relation follows.☐
\nTheorem 2.9 is interesting as it leads to the relation
Theorem 2.10. Let \n
Proof. To prove the relation, we note that
where \n
which leads to the required relation immediately.☐
\nNow we shall find relations between q-tangent polynomials and others polynomials. For this, first we introduce well known polynomials by using q-numbers.
\nDefinition 2.11. We define q-Euler polynomials, \n
Theorem 2.12. For \n
Proof. Transforming q-tangent polynomials containing two parameters, we find
Thus, for the relation between q-tangent polynomials of two parameters and q-Euler polynomials, we have
which on comparing the coefficients immediately gives the required relation. ☐
\nCorollary 2.13. From Theorem 2.12, the following hold.
Theorem 2.14. For \n
Proof. We note that
Thus as in Theorem 2.12, we have
The required relation now follows on comparing the coefficients. ☐
\nCorollary 2.15. From the Theorem 2.14, the following relations hold.
\nIn this section, we will find the approximate structure and shape of the roots according to the changes in n and q. We will extend this to identify the fixed points and try to understand the structure of the composite function using the Newton method.
\nThe first five q-tangent polynomials are:
Using Mathematica, we will examine the approximate movement of the roots. In Figure 1, the x-axis means the numbers of real zeros and the y-axis means the numbers of complex zeros in the q-tangent polynomials. When it moves from left to right, it changes to n = 30, 40, 50, and when it is fixed at q = 0.1, the approximate shape of the root appears to be almost circular. The center is identified as the origin, and it has 2.0 as an approximate root, which is unusual.
\nZeros of \n\n\nT\n\nn\n,\n0.1\n\n\n\nx\n\n\n for n = 30, 40, 50.
Figure 2 shows the shape of the approximate roots when n is changed to the above conditions and fixed at q = 0.5.
\nZeros of \n\n\nT\n\nn\n,0.5\n\n\n\nx\n\n\n for n = 30, 40, 50.
In Figure 2, the shape of the root changes to an ellipse, unlike the q = 0.1 condition, and the widening phenomenon appears when the real number is 0.5. In addition, like the previous Figure 1, we can see that it has a common approximate root at 2.0. In the following Figure 3, n of the far-left figure is 30, and it increases by 10 while moving to the right, and the far-right figure shows the shape of the root when n = 50 and is fixed at q = 0.9.
\nZeros of \n\n\nT\n\nn\n,0.9\n\n\n\nx\n\n\n for n = 30, 40, 50.
In Figure 3, the roots have a general tangent polynomial shape with similar properties (see [22, 23, 24, 25]). If each approximate root obtained in the previous step is piled up according to the value of n, it will appear as shown in Figure 4. The left Figure 4 is q = 0.1 with n from 1 to 50. The middle Figure 4 is q = 0.5 with n from 1 to 50. The right Figure 4 is q = 0.9 with n from 1 to 50.
\nZeros of \n\n\nT\n\nn\n,\nq\n\n\n\nx\n\n\n for q = 0.1, 0.5, 0.9, 1 ≤ n ≤ 50.
Let \n
The iterates of f are the functions \n
We consider the Newton’s dynamical system as follows [12, 15, 20]:
R is called the Newton iteration function of \n
For \n
i | \nq = 0.1 | \nq = 0.5 | \nq = 0.9 | \n
---|---|---|---|
1 | \n−0.672809 | \n−0.581881 − 0.412941i | \n−1.10249 | \n
2 | \n−0.0821877 − 0.710388i | \n−0.581881 + 0.412941i | \n−0.158841 | \n
3 | \n−0.0821877 + 0.710388i | \n0.907024 | \n1.84004 | \n
4 | \n1.94818 | \n2.13174 | \n2.86029 | \n
Approximate zeros of \n
In Newton’s method, the generalized expectation is that a typical orbit {R(x)} will converge to one of the roots of \n
When it is given a point x0 in the complex plane, we want to determine whether the orbit of x0 under the action of R(x) converges to one of the roots of the equation. The orbit of x0 under the action of R also appears by calculating until 30 iterations or the absolute difference value of the last two iterations is within 10−6.
\nThe output in Figure 5 is the last calculated orbit value. We construct a function, which assigns one of four colors for each point according to the outcome of R in the plane. If an orbit of x0 for q = 0.1 converges to −0.672809, −0.0821877 − 0.710388i, −0.0821877 + 0.710388i and 1.94818, then we denote the red, blue, yellow, and sky-blue, respectively(the left figure). For example, the yellow region for the left figure represents the part of the basin of attraction of a3 = −0.0821877 + 0.710388i.
\nOrbit of x0 under the action of R for \n\n\nT\n\n4\n,\nq\n\n\n\nx\n\n\n for q = 0.1, 0.5, 0.9.
If we use \n
Orbit of x0 under the action of R for \n\n\n\nT\n\n3\n,\n0.1\n\n\n\nx\n\n,\n\n\nT\n3,0.1\n2\n\n\nx\n\n\n.
In Figure 7, we express the coloring for \n
Palette for escaping points.
Conjecture 3.1. The q-tangent polynomials always have self-similarity at the boundary.
\nWe know that the fixed point is divided as follows. Suppose that the complex function f is analytic in a region D of \n
an attracting fixed point if \n
a repelling fixed point if \n
a neutral fixed point if \n
For example, \n
That is, \n
Theorem 3.2. \n
Using Mathematica, we can separate the numerical results for fixed points of \n
Degree n | \nAttractor | \nRepellor | \nNeutral | \n
---|---|---|---|
1 | \n0 | \n1 | \n0 | \n
2 | \n1 | \n1 | \n0 | \n
3 | \n2 | \n1 | \n0 | \n
4 | \n1 | \n3 | \n0 | \n
5 | \n1 | \n4 | \n0 | \n
Numbers of fixed points of \n
Conjecture 3.3. The q-tangent polynomials for \n
In Table 3, we denote \n
r | \n\n\n | \n\n\n | \n
---|---|---|
1 | \n3 | \n2 | \n
2 | \n3 | \n2 | \n
3 | \n3 | \n2 | \n
4 | \n23 | \n2 | \n
5 | \n2 | \n2 | \n
6 | \n1 | \n1 | \n
The numbers of \n
Conjecture 3.4. The q-tangent polynomials that are iterated, \n
In the top-left of Figure 8, we can see the forms of 3D structure related to stacks of fixed points of \n
Stacks of fixed point of \n\n\nT\n\n3\n,\n0.1\n\nr\n\n\nx\n\n\n for 1 ≤ r ≤ 6.
We can see that when q comes closer to 0, the approximate shape of the roots become increasingly more circular. Also in this situation, we can observe scattering of zeros in q-tangent polynomials around 2 in three-dimension. When q comes closer to 1, it has properties that are more symmetrical. We can also assume that the property that appears when iterating \n
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (No. 2017R1E1A1A03070483).
\nThe authors declare that there is no conflict of interests regarding the publication of this paper.
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