Rames C. Panda

Central Leather Research Institute India

Rames C Panda : Dr Panda obtained his B.Tech (1987) from Jadavpur University (Kolkata), M.Tech (1989) and PhD (1994) from IIT, Madras in Chemical Engineering. Since 1994, he is working at CLRI as a scientist. He has worked in several foreign countries (University of Karlsruhe, Germany; National University of Taiwan, Taipei; Curtin University of Technology, Australia) in different academic responsibilities. His main areas of interests are process modeling, estimation and control. He has leaded many engineering and sponsored research projects. His significant experience with autotuning of PID controllers and predictive controls has helped him to execute many sponsored research projects globally. He has guided many research students and has published many research articles in reputed journals.

1books edited

2chapters authored

Latest work with IntechOpen by Rames C. Panda

This book discusses the theory, application, and practice of PID control technology. It is designed for engineers, researchers, students of process control, and industry professionals. It will also be of interest for those seeking an overview of the subject of green automation who need to procure single loop and multi-loop PID controllers and who aim for an exceptional, stable, and robust closed-loop performance through process automation. Process modeling, controller design, and analyses using conventional and heuristic schemes are explained through different applications here. The readers should have primary knowledge of transfer functions, poles, zeros, regulation concepts, and background. The following sections are covered: The Theory of PID Controllers and their Design Methods, Tuning Criteria, Multivariable Systems: Automatic Tuning and Adaptation, Intelligent PID Control, Discrete, Intelligent PID Controller, Fractional Order PID Controllers, Extended Applications of PID, and Practical Applications. A wide variety of researchers and engineers seeking methods of designing and analyzing controllers will create a heavy demand for this book: interdisciplinary researchers, real time process developers, control engineers, instrument technicians, and many more entities that are recognizing the value of shifting to PID controller procurement.

Go to the book

Introduction to PID Controllers

Edited by Rames C. Panda

Chapters authored

Identification and Control of Multivariable Systems – Role of Relay Feedback

By Rames C. Panda and V. Sujatha

Part of the book: Introduction to PID Controllers

Implementation of MPC Strategy in Reactive Separation Techniques and Its Benefits: A Demonstration with Natural Gas Sweetening Process

By K. Karthigaiselvan and Rames Chandra Panda

Model Predictive Control (MPC) is a widely used method that has numerous applications in process industries. In the MPC group of controllers, a clear process model is used directly for controlling, predicting future plant behavior, and calculating corrective control action required to maintain the output at the desired set point value. Most chemical processes exhibit inherent nonlinearities due to interactions among processes, disturbance, and set-point changes. MPC variants based on nonlinear process models have been a proven stiff control technique for process control along with improved handling of constraints, abnormal dynamics, and time delays. In addition to that, MPC is better in handling the nonlinearity and time-varying characteristics during run time by modifying model. The control of multi-input and multi-output reactive-separation process is difficult due to nonlinearity associated with the process and interactions of vapor-liquid equilibrium with chemical reactions. In order to obtain optimal performance, energy conservation, and cost-effectiveness in reactive-separation process, the application of optimal control technique is inevitable. This chapter addresses application of MPC and its benefits in reactive separation techniques, particularly in natural gas sweetening process. The recent application in MPC and its proven results for the above-mentioned reactive separation processes are discussed here.

Part of the book: Model Predictive Control

Rames C. Panda

Latest work with IntechOpen by Rames C. Panda

Introduction to PID Controllers

Chapters authored

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