By Tze?Fun Chan, Keli Shi(auth.)
Induction automobiles are crucial workhorses in undefined. they're ordinarily used as constant-speed drives while fed from a voltage resource of mounted frequency. introduction of complicated strength digital converters and strong electronic sign processors, even though, has made attainable the improvement of excessive functionality, adjustable pace AC motor drives.
This publication goals to discover new components of induction motor keep an eye on according to man made intelligence (AI) concepts that allows you to make the controller much less delicate to parameter adjustments. chosen AI innovations are utilized for various induction motor keep an eye on options. The e-book offers a realistic laptop simulation version of the induction motor which may be used for learning numerous induction motor force operations. The keep an eye on innovations explored contain expert-system-based acceleration keep watch over, hybrid-fuzzy/PI two-stage keep watch over, neural-network-based direct self regulate, and genetic set of rules established prolonged Kalman clear 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 stories on numerous AI strategies.
- Presents significant synthetic intelligence options to induction motor drives
- Uses a pragmatic simulation method of get readers all started on force improvement
- Authored by means of skilled scientists with over twenty years of expertise within the box
- Provides quite a few examples and the most recent examine effects
- Simulation courses on hand from the book's better half site
This ebook may be useful to graduate scholars and study engineers who specialise in electrical motor drives, electrical autos, and electrical send propulsion. Graduate scholars in clever keep an eye on, utilized electrical movement, and effort, in addition to engineers in business electronics, automation, and electric transportation, also will locate this ebook necessary.
Simulation fabrics on hand for obtain at www.wiley.com/go/chanmotorContent:
Chapter 1 advent (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 regulate (pages 109–132):
Chapter 6 Hybrid Fuzzy/PI Two?Stage keep watch over (pages 133–166):
Chapter 7 Neural?Network?based Direct Self regulate (pages 167–197):
Chapter eight Parameter Estimation utilizing Neural Networks (pages 199–241):
Chapter nine GA?Optimized prolonged Kalman filter out for velocity Estimation (pages 243–271):
Chapter 10 Optimized Random PWM ideas in accordance 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
1 Current 3/2Trans sub-model Electrical sub-model Slip frequency Mechanical sub-model + Sum wo w Current-input model of an induction motor in Simulink. 1 35 Current (3/2) Rotating Transformation Sub-Model The current (3/2) rotating transformation sub-model consists of a current source block and a current 3/2 rotating transformation block. The current source block is used to build a current source based on input frequency, phase, and magnitude. The current (3/2) rotating transformation block is used to convert the three-phase stator current to the corresponding vectors in the excitation reference frame.
Motor type, size, and power supply may be changed easily. Development of a new motor drive often involves expensive prototypes. Advanced computer simulation and mathematical modeling techniques with solution procedures can produce optimal designs with minimum time, cost, and effort. L. F. K. Wong, “Modelling and simulation of the three-phase induction motor,” International Journal on Electrical Engineering Education, 36(2), 163–172, Ó 1999, with permission from Manchester University Press. L. F.
Neural network with the advantage of parallel computation can be used to decrease the controller time-delay caused by complex computation. In this book, a neural-networkbased DSC scheme is proposed to decrease the controller time delay so that the torque and flux errors of a DSC can almost be eliminated. The proposed neural-network controller employs the individual training strategy with the fixed-weight and the supervised methods (Kung, 1993). 4 Genetic Algorithm (Fogel, 1994) Over the past 30 years, genetic algorithms were mainly developed in the USA by J.
Applied Intelligent Control of Induction Motor Drives by Tze?Fun Chan, Keli Shi(auth.)