Fuzzy Control Systems: Design, Analysis and Performance Evaluation


Wendy Santos (Editor)

Series: Computer Science, Technology and Applications
BISAC: COM014000

This book reviews fuzzy control systems. Chapter One presents a new class of fuzzy logic systems named type-2 fuzzy logic systems (T2FLS). Chapter Two discusses DSP based hardware and software implementation of a sliding mode control for high performance IM drive. Chapter Three examines fuzzy logic based encoder-less speed controls of permanent-magnet synchronous motors (PMSM) for hub motor drives. Chapter Four presents the development and research of fuzzy control system of floating dock docking operations. Chapter Five examines the problem of a robust H‡ fuzzy control design for a class of nonlinear Markovin jump systems via a LMI-based approach. (Imprint: Nova)

Table of Contents

Table of Contents


Chapter 1. Type2 Fuzzy Logic Control: Design and Application in Wind Energy Conversion System based on DFIG via Active and Reactive Power Control
Fayssal Amrane and Azeddine Chaiba (Automatic Laboratory of Setif (LAS), Department of Electrical Engineering, University of Setif 1, Setif, Algeria)

Chapter 2. DSP Based Hardware and Software Implementation of a Sliding Mode Control for High Performance IM Drive
Ali Saghafinia and M. Nasir Uddin (Electrical Engineering Department, Majlesi Branch, Islamic Azad University, Esfahan, Iran, and others)

Chapter 3. Fuzzy Logic Based Encoder-less Speed Control of PMSM for Hub Motor Drive
S. Hr. Aghay Kaboli, A. Mohammadi, A. Fallahpour, Jeyraj Selvaraj and Nasrudin Abd Rahim (University Malaya Power Energy Dedicated Advanced Centre (UMPEDAC), University of Malaya (UM), Kuala Lumpur, Malaysia)

Chapter 4. Synthesis and Optimization of Fuzzy Control System for Floating Dock’s Docking Operations
Yuriy P. Kondratenko, Oleksiy V. Kozlov, Oleksiy V. Korobko, and Andriy M. Topalov (Department of Electrical Engineering and Computer Science Cleveland State University, Cleveland, Ohio, USA, and others)

Chapter 5. Robust H∞ Fuzzy Control of Nonlinear Markovian Jump Systems: LMI-Based Design
Wudhichai Assawinchaichote (Department of Electronic and Telecommunication Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand)


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