By Tze Fun Chan,Keli Shi
This publication goals to discover new components of induction motor regulate in response to synthetic intelligence (AI) suggestions which will make the controller much less delicate to parameter adjustments. chosen AI concepts are utilized for various induction motor regulate options. The ebook offers a realistic laptop simulation version of the induction motor that may be used for learning a variety of induction motor force operations. The keep watch over ideas explored comprise expert-system-based acceleration keep an eye on, hybrid-fuzzy/PI two-stage keep watch over, neural-network-based direct self regulate, and genetic set of rules established prolonged Kalman filter out for rotor velocity estimation. There also are chapters on neural-network-based parameter estimation, genetic-algorithm-based optimized random PWM method, and experimental investigations. A bankruptcy is supplied as a primer for readers to start with simulation reviews on numerous AI techniques.
- Presents significant man made intelligence strategies to induction motor drives
- Uses a pragmatic simulation method of get readers all started on force development
- Authored via skilled scientists with over twenty years of expertise within the field
- Provides a number of examples and the newest learn results
- Simulation courses to be had from the book's better half Website
This booklet might be priceless to graduate scholars and study engineers who specialise in electrical motor drives, electrical cars, and electrical send propulsion. Graduate scholars in clever regulate, utilized electrical movement, and effort, in addition to engineers in commercial electronics, automation, and electric transportation, also will locate this ebook helpful.
Simulation fabrics to be had for obtain at www.wiley.com/go/chanmotor
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Applied Intelligent Control of Induction Motor Drives (Wiley - IEEE) by Tze Fun Chan,Keli Shi