Applied Intelligent Control of Induction Motor Drives / Wiley - IEEE (ePub)
(Sprache: Englisch)
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...
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...
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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
strategies. The book presents a practical computer simulation model
of the induction motor that could be used for studying various
induction motor drive operations. The control strategies explored
include expert-system-based acceleration control, hybrid-fuzzy/PI
two-stage control, neural-network-based direct self control, and
genetic algorithm based extended Kalman filter for rotor speed
estimation. There are also chapters on neural-network-based
parameter estimation, genetic-algorithm-based optimized random PWM
strategy, and experimental investigations. A chapter is provided as
a primer for readers to get started with simulation studies on
various AI techniques.
* Presents major artificial intelligence techniques to induction
motor drives
* Uses a practical simulation approach to get interested readers
started on drive development
* Authored by experienced scientists with over 20 years of
experience in the field
* Provides numerous examples and the latest research results
* Simulation programs available from the book's Companion
Website
This book will be invaluable to graduate students and research
engineers who specialize in electric motor drives, electric
vehicles, and electric ship propulsion. Graduate students in
intelligent control, applied electric motion, and energy, as well
as engineers in industrial electronics, automation, and electrical
transportation, will also find this book helpful.
Simulation materials available for download at href="http://www.wiley.com/go/chanmotor">www.wiley.com/go/chanmotor
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
strategies. The book presents a practical computer simulation model
of the induction motor that could be used for studying various
induction motor drive operations. The control strategies explored
include expert-system-based acceleration control, hybrid-fuzzy/PI
two-stage control, neural-network-based direct self control, and
genetic algorithm based extended Kalman filter for rotor speed
estimation. There are also chapters on neural-network-based
parameter estimation, genetic-algorithm-based optimized random PWM
strategy, and experimental investigations. A chapter is provided as
a primer for readers to get started with simulation studies on
various AI techniques.
* Presents major artificial intelligence techniques to induction
motor drives
* Uses a practical simulation approach to get interested readers
started on drive development
* Authored by experienced scientists with over 20 years of
experience in the field
* Provides numerous examples and the latest research results
* Simulation programs available from the book's Companion
Website
This book will be invaluable to graduate students and research
engineers who specialize in electric motor drives, electric
vehicles, and electric ship propulsion. Graduate students in
intelligent control, applied electric motion, and energy, as well
as engineers in industrial electronics, automation, and electrical
transportation, will also find this book helpful.
Simulation materials available for download at href="http://www.wiley.com/go/chanmotor">www.wiley.com/go/chanmotor
Autoren-Porträt von Tze-Fun Chan, Keli Shi
Tze-Fun Chan is an associate professor of electricalengineering at the Hong Kong Polytechnic University, where he has
been working for over 30 years since 1978. Chan's research
interests are self-excited induction generators, brushless AC
generators, permanent-magnet machines, finite element analysis of
electric machines, and electric motor drives control. In June 2006,
Chan was awarded a Prize Paper by IEEE Power Engineering Society
Power Generation and Energy Development Committee. In 2007, Chan
co-authored a book published by Wiley. He received the B.Sc. and
M.Phil degrees in electrical engineering from the University of
Hong Kong in 1974 and 1980 respectively. He received his PhD degree
in electrical engineering from City University London in 2005.
Keli Shi is a Research Engineer of Netpower Technologies
Inc.. His research interests are DSP applications and intelligent
control of induction and permanent magnet machines. He received his
BS degree in electronics and electrical engineering from Chengdu
University of Science and Technology and MS degree in electrical
engineering from Harbin Institute of Technology in 1983 and 1989
respectively. He received his PhD in electrical engineering from
The Hong Kong Polytechnic University in 2001.
Bibliographische Angaben
- Autoren: Tze-Fun Chan , Keli Shi
- 2011, 1. Auflage, 448 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470828285
- ISBN-13: 9780470828281
- Erscheinungsdatum: 19.01.2011
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- Größe: 7.93 MB
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Sprache:
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