Applied Intelligent Control of

Induction motors are the most important workhorses in industry.They are mostly used as constant-speed drives when fed from avoltage source of fixed frequency. Advent of advanced powerelectronic 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 controlbased on artificial intelligence (AI) techniques in order to makethe controller less sensitive to parameter changes. Selected AItechniques are applied for different induction motor controlstrategies. The book presents a practical computer simulation modelof the induction motor that could be used for studying variousinduction motor drive operations. The control strategies exploredinclude expert-system-based acceleration control, hybrid-fuzzy/PItwo-stage control, neural-network-based direct self control, andgenetic algorithm based extended Kalman filter for rotor speedestimation. There are also chapters on neural-network-basedparameter estimation, genetic-algorithm-based optimized random PWMstrategy, and experimental investigations. A chapter is provided asa primer for readers to get started with simulation studies onvarious AI techniques.

• Presents major artificial intelligence techniques to inductionmotor drives
• Uses a practical simulation approach to get interested readersstarted on drive development
• Authored by experienced scientists with over 20 years ofexperience in the field
• Provides numerous examples and the latest research results
• Simulation programs available from the book's CompanionWebsite

This book will be invaluable to graduate students and researchengineers who specialize in electric motor drives, electricvehicles, and electric ship propulsion. Graduate students inintelligent control, applied electric motion, and energy, as wellas engineers in industrial electronics, automation, and electricaltransportation, will also find this book helpful.

Simulation materials available for download at www.wiley.com/go/chanmotor