By Tze?Fun Chan, Keli Shi(auth.)
Induction automobiles are crucial workhorses in undefined. they're as a rule used as constant-speed drives whilst fed from a voltage resource of mounted frequency. introduction of complicated strength digital converters and robust electronic sign processors, even if, has made attainable the improvement of excessive functionality, adjustable pace AC motor drives.
This ebook goals to discover new parts of induction motor regulate in line with synthetic intelligence (AI) thoughts in an effort to make the controller much less delicate to parameter adjustments. chosen AI suggestions are utilized for various induction motor keep watch over suggestions. The ebook provides a pragmatic laptop simulation version of the induction motor which may be used for learning numerous induction motor force operations. The keep watch over options explored contain 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 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 technique, and experimental investigations. A bankruptcy is supplied as a primer for readers to start with simulation experiences on quite a few AI suggestions.
- Presents significant man made intelligence suggestions to induction motor drives
- Uses a pragmatic simulation method of get readers all started on force improvement
- Authored via skilled scientists with over twenty years of expertise within the box
- Provides various examples and the most recent study effects
- Simulation courses on hand from the book's significant other web site
This e-book can be priceless to graduate scholars and examine engineers who focus on 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 ebook useful.
Simulation fabrics to be had for obtain at www.wiley.com/go/chanmotorContent:
Chapter 1 creation (pages 1–7):
Chapter 2 Philosophy of Induction Motor keep watch over (pages 9–30):
Chapter three Modeling and Simulation of Induction Motor (pages 31–74):
Chapter four basics of clever regulate Simulation (pages 75–108):
Chapter five Expert?System?Based Acceleration keep watch over (pages 109–132):
Chapter 6 Hybrid Fuzzy/PI Two?Stage keep an eye on (pages 133–166):
Chapter 7 Neural?Network?based Direct Self keep an eye on (pages 167–197):
Chapter eight Parameter Estimation utilizing Neural Networks (pages 199–241):
Chapter nine GA?Optimized prolonged Kalman clear out for pace Estimation (pages 243–271):
Chapter 10 Optimized Random PWM options in keeping with Genetic Algorithms (pages 273–311):
Chapter eleven Experimental Investigations (pages 313–371):
Chapter 12 Conclusions and destiny advancements (pages 373–379):
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Extra resources for Applied Intelligent Control of Induction Motor Drives
1997b) Intelligent control and estimation in power electronics and drives. The 1997 IEEE International Electric Machines and Drives Conference, USA, May. , and Rajashekara, K. (1997) A neuro-fuzzy based on-line efficiency optimization control of a stator flux oriented direct vector controlled induction motor drive. IEEE Transactions on Industrial Electronics, 44, 270–273. W. (1990) Adaptive decoupling control of induction motor drives. IEEE Transactions on Industrial Electronics, 37(1), 41–47.
Matsuse), IEEE Press, New Jersey. , Ferraris, L. et al. (1996) Comparison of different schemes without shaft sensors for field oriented control drives, in Sensorless Control of AC Motor Drives (eds K. Rajashekara, A. Kawamura, and K. Matsuse) IEEE Press, New Jersey. W. (1996) Observer-based direct field orientation: analysis and comparison of alternative methods, in Sensorless Control of AC Motor Drives (eds K. Rajashekara, A. Kawamura, and K. Matsuse) IEEE Press, New Jersey. Joetten, R. and Maeder, G.
Feedback signals are a function of system state variables. 1. Philosophy of Induction Motor Control Reference input v Control function u 1 s(x(t)) + feedback signal 11 PLANT State Output y x . 1 A state feedback control system. In induction motor drives, the relationship between the rotor speed and the power input is not linear. In a vector control scheme, only three state variables (speed and currents in two phases) and two inputs (voltages) are available for measurement, hence the other two state variables (fluxes) have to be estimated.
Applied Intelligent Control of Induction Motor Drives by Tze?Fun Chan, Keli Shi(auth.)
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