PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink
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PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink


Electrical drives play a critical role in electromechanical energy conversions. They are seen everywhere in our daily life from the cooling fans, washing machines to computers.

They are the fundamental building blocks in manufacturing, transportation, mineral processing, wind energy and many other industries.

For the last several decades, the advances of electronically switched semiconductors in the form of power electronics have made AC motor drives gain more prominence over the DC machines in industries since they allow a direct connection to power grids via grid connected power converters and have a more reliable physical structure.

The grid connected three phase power converter has wide applications in renewable energy generation. This book gives an introduction to the automatic control of electrical drives and grid connected three phase power converters, and to recent developments in design and implementation.

When they are combined together as one unit, it will provide a direct connection for the electrical drives to the power grid for electromechanical energy conversions and renewable wind energy applications.

In the context of control system design, electrical drives and grid connected three phase power converters share similar characteristics in their dynamic models and use the same type of semiconductors as actuators in the implementation of control systems.

Therefore, in this book, electrical drives and power converters will be studied as individual components of the larger system and examined in the same framework.

As electrical drives and power converters have restricted operations imposed by electronically switched semiconductors, their operational constraints are paramount in the design and implementation of the control systems.

In this regard, model predictive control has an established reputation in successfully handling the operational constraints in an optimal manner.

Two chapters of this book will be devoted to seeking new predictive control technologies that address the specific needs of controlling electrical drives and power converters, and an additional two chapters will apply the existing predictive control technologies to these systems.

Since PID control systems are used in the majority of industrial electrical drives and power converters, understanding these control systems and having the capability to design and implement them are important to a control engineer.

There are three chapters in the book that will systematically cover PID control system design, PID control system implementation with anti-windup mechanisms and tuning of PID control systems.

All control systems presented in this book have been experimentally validated using self-built test-beds with industrial sized motors.

To assist the reader, tutorials about the real-time control system implementation and the physical model based simulators are presented in this book.

This book is intended for readers who have completed or are about to complete four years engineering studies with some basic knowledge in electrical and control systems.

The targeted readers are students, practitioners, instructors and researchers who wish to learn electrical motor control and power converter control.

The book is self-contained with MATLAB/Simulink tutorials and supported with simulation and experimental results.

It is worth mentioning that the material contained in the first five chapters is aimed at readers who are working or are going to work in the relevant engineering field.

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