Applied intelligent control of induction motor drives [electronic resource] / Tze-Fun Chan, Keli Shi.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9780470825587 (electronic bk.)
- 0470825588 (electronic bk.)
- 621.46
IT Carlow ebook
IEEE ebook
Includes bibliographical references and index.
Cover; Title Page; Copyright; Preface; Acknowledgments; About the Authors; List of Symbols; Chapter 1: Introduction; Chapter 2: Philosophy of Induction Motor Control; Chapter 3: Modeling and Simulation of Induction Motor; Chapter 4: Fundamentals of Intelligent Control Simulation; Chapter 5: Expert-System-based Acceleration Control; Chapter 6: Hybrid Fuzzy/PI Two-Stage Control; Chapter 7: Neural-Network-based Direct Self Control; Chapter 8: Parameter Estimation Using Neural Networks; Chapter 9: GA-Optimized Extended Kalman Filter for Speed Estimation
Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor drives.This book aims to explore new areas of induction motor control based on artificial intelligence (AI) techniques in order to make the controller less sensitive to parameter changes. Selected AI techniques are applied for different induction motor control s.
Description based on print version record.