By Tze Fun Chan,Keli Shi
This e-book goals to discover new components of induction motor keep an eye on according to man made intelligence (AI) thoughts with a view to make the controller much less delicate to parameter adjustments. chosen AI options are utilized for various induction motor regulate innovations. The e-book provides a realistic laptop simulation version of the induction motor which may be used for learning numerous induction motor force operations. The regulate recommendations explored comprise expert-system-based acceleration keep watch over, hybrid-fuzzy/PI two-stage keep watch over, neural-network-based direct self keep watch over, and genetic set of rules dependent prolonged Kalman filter out for rotor velocity estimation. There also are chapters on neural-network-based parameter estimation, genetic-algorithm-based optimized random PWM approach, and experimental investigations. A bankruptcy is supplied as a primer for readers to start with simulation experiences on a number of AI techniques.
- Presents significant synthetic intelligence ideas to induction motor drives
- Uses a pragmatic simulation method of get readers all started on force development
- Authored by way of 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 should be worthwhile to graduate scholars and study engineers who specialise in electrical motor drives, electrical automobiles, and electrical send propulsion. Graduate scholars in clever regulate, utilized electrical movement, and effort, in addition to engineers in business electronics, automation, and electric transportation, also will locate this publication helpful.
Simulation fabrics on hand 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