Meet the editors

Dr. M. Shamsuzzoha has a Ph.D. in Chemical Engineering with a specialization in process design, modeling, simulation, and control. He conducts studies and provides process engineering, modeling, and simulation support to clients in a wide range of process industries. Prior to his present position, Dr. Shamsuzzoha worked in ADNOC Refining Co. as a Senior Specialist in Process Engineering focused on technical support to refinery

and gas plants, including process modeling and simulation as well as modification and design of refinery units and associated gas plants. Recently, he completed an MBA in Entrepreneurship and Leadership. Dr. Shamsuzzoha has unique work experience in academics, industries, and research and development in a multicultural environment. He is a pioneering researcher and practicing engineering in process modelling, simulation, and control.

Dr. G. Lloyds Raja received his bachelor's and master's degrees in Engineering from Anna University, India. He was awarded a Ph.D. from the Indian Institute of Technology Patna for his dissertation entitled "Enhanced Cascade Control Strategies for Unstable and Industrial Processes". For a brief period, Dr. Raja was a postdoctoral researcher at the Department of Automation, Shanghai Jiao Tong University, China. Presently, he is an

assistant professor at the National Institute of Technology Patna, India. He has more than 10 years of teaching and research experience. He has authored/co-authored nearly forty papers in international journals and peer-reviewed conference proceedings. He has taught courses on linear control systems, modern control theory, electronic circuits, and industrial process control and delivered invited lectures in several forums.

## Contents


Preface

Meeting the continuously evolving challenges in industrial process control requires efficient control strategies that can yield improved performance compared to contemporary methods. In industrial process control, disturbance rejection is more vital than setpoint tracking. This is because in scenarios like manufacturing processes, the production rate is hardly altered, whereas the plant is prone to encounter disturbance at any instance. This book covers a range of topics within the realm of disturbance

Chapter 1 introduces the theme of the book, discussing the different types of distur-

Auto-tuning PID controllers have attracted much attention in recent times among control engineers. Though there are several analytical techniques existing for auto-tuning PID controllers, Chapter 2 presents a genetic algorithm-based heuristic approach. This auto-tuning procedure is generic and extendable to various classes of industrial processes. Controllers have also found applications in enhancing network efficiency.

Chapter 3 presents an ant colony optimizer-tuned PI controller for the aforementioned purpose. The findings in this chapter are validated through extensive simulations.

Chapter 4 presents an observer-based disturbance rejection technique for switched nonlinear networked systems under an event-triggered scheme. The chapter provides an observer-based, event-triggered disturbance rejection controller that ensures the

Chapter 5 presents a robust control technique for space robots by considering friction characteristics. It gives an overview of space robots, including modeling the robot and

My sincere thanks to all the chapter authors and Author Service Manager Ana Cink at IntechOpen who provided excellent support throughout the publication process. I believe that the contents of this book will help engineers and researchers working in the domain of PID controller design for various applications. We also acknowledge our respective organizations (Billington Process Technology and National Institute of Technology Patna) for providing us with the necessary facilities and infrastructure during this editorial task. Also, it would have been impossible to successfully edit this

resulting closed-loop form of the examined systems is exponentially stable.

bance rejection control techniques and their applications at a surface level.

rejection control for various industrial processes.

designing a controller based on the obtained model.

book without the support and cooperation of our families.
