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Mahmut Reyhanoglu

University of North Carolina

Mahmut Reyhanoglu is presently the Glaxo Wellcome Distinguished Professor of Engineering at the University of North Carolina at Asheville, North Carolina, USA. His extensive research makes use of advanced mathematical techniques and models that arise from fundamental physical principles. His major research interests are in the areas of nonlinear dynamical systems and control theory, with particular emphasis on applications to mechatronics and aerospace systems. He has edited 3 books, and authored/co-authored several book chapters and over 130 peer-reviewed journal/proceedings papers. He served on the IEEE Transactions on Automatic Control Editorial Board and on the IEEE Control Systems Society Conference Editorial Board as an Associate Editor. He also served as International Program Committee member for several conferences and as a member of AIAA Guidance, Navigation, and Control Technical Committee. He is currently serving as an editor of International Journal of Aerospace Engineering.

3books edited

3chapters authored

Latest work with IntechOpen by Mahmut Reyhanoglu

There has been a considerable progress made during the recent past on mathematical techniques for studying dynamical systems that arise in science and engineering. This progress has been, to a large extent, due to our increasing ability to mathematically model physical processes and to analyze and solve them, both analytically and numerically. With its eleven chapters, this book brings together important contributions from renowned international researchers to provide an excellent survey of recent advances in dynamical systems theory and applications. The first section consists of seven chapters that focus on analytical techniques, while the next section is composed of four chapters that center on computational techniques.

Dynamical SystemsAnalytical and Computational TechniquesEdited by Mahmut Reyhanoglu

Dynamical Systems

Edited by Mahmut Reyhanoglu

Books edited

Computational and Experimental Studies of Acoustic WavesEdited by Mahmut Reyhanoglu

Computational and Experimental Studies of Acoustic Waves

Edited by Mahmut Reyhanoglu

Nonlinear SystemsModeling, Estimation, and StabilityEdited by Mahmut Reyhanoglu

Nonlinear Systems

Edited by Mahmut Reyhanoglu

Chapters authored

Modelling and Control of Space Vehicles with Fuel Slosh Dynamics

By Mahmut Reyhanoglu

Part of the book: Advances in Spacecraft Technologies

Nonlinear Dynamics and Control of Aerial Robots

By Mahmut Reyhanoglu and Muhammad Rehan

Aerial robotics is one of the fastest growing industry and has a number of evolving applications. Higher agility make aerial robots ideal candidate for applications like rescue missions especially in difficult to access areas. This chapter first derives the complete nonlinear dynamics of an aerial robot consisting of a quadcopter with a two-link robot manipulator. Precise control of such an aerial robot is a challenging task due to the fact that the translational and rotational dynamics of the quadcopter are strongly coupled with the dynamics of the manipulator. We extend our previous results on the control of quadrotor UAVs to the control of aerial robots. In particular, we design a backstepping and Lyapunov-based nonlinear feedback control law that achieves point-to-point control of the areal robot. The effectiveness of this feedback control law is illustrated through a simulation example.

Part of the book: Aerial Robots

Adaptive Nonlinear Regulation Control of Thermoacoustic Oscillations in Rijke-Type Systems

By William MacKunis, Mahmut Reyhanoglu and Krishna Bhavithavya Kidambi

Adaptive nonlinear control of self-excited oscillations in Rijke-type thermoacoustic systems is considered. To demonstrate the methodology, a well-accepted thermoacoustic dynamic model is introduced, which includes arrays of sensors and monopole-like actuators. To facilitate the derivation of the adaptive control law, the dynamic model is recast as a set of nonlinear ordinary differential equations, which are amenable to control design. The control-oriented nonlinear model includes unknown, unmeasurable, nonvanishing disturbances in addition to parametric uncertainty in both the thermoacoustic dynamic model and the actuator dynamic model. To compensate for the unmodeled disturbances in the dynamic model, a robust nonlinear feedback term is included in the control law. One of the primary challenges in the control design is the presence of input-multiplicative parametric uncertainty in the dynamic model for the control actuator. This challenge is mitigated through innovative algebraic manipulation in the regulation error system derivation along with a Lyapunov-based adaptive control law. To address practical implementation considerations, where sensor measurements of the complete state are not available for feedback, a detailed analysis is provided to demonstrate that system observability can be ensured through judicious placement of pressure (and/or velocity) sensors. Based on this observability condition, a sliding-mode observer design is presented, which is shown to estimate the unmeasurable states using only the available sensor measurements. A detailed Lyapunov-based stability analysis is provided to prove that the proposed closed-loop active thermoacoustic control system achieves asymptotic (zero steady-state error) regulation of multiple thermoacoustic modes in the presence of the aforementioned model uncertainty. Numerical Monte Carlo-type simulation results are also provided, which demonstrate the performance of the proposed closed-loop control system under various sets of operating conditions.

Part of the book: Adaptive Robust Control Systems

Related collaborators

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Tongli Chang

Northeast Forestry University, China

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Akihisa Matsubara

Sang-Heon Lee

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Atsushi Tomiki

Tomoaki Toda

Japan Aerospace Exploration Agency, Japan

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