Download e-book for iPad: Applied Intelligent Control of Induction Motor Drives by Tze?Fun Chan, Keli Shi(auth.)

By Tze?Fun Chan, Keli Shi(auth.)

ISBN-10: 0470825561

ISBN-13: 9780470825563

ISBN-10: 0470825588

ISBN-13: 9780470825587

Induction automobiles are an important workhorses in undefined. they're quite often used as constant-speed drives whilst fed from a voltage resource of fastened frequency. creation of complex energy digital converters and strong electronic sign processors, in spite of the fact that, has made attainable the improvement of excessive functionality, adjustable pace AC motor drives.

This booklet goals to discover new components of induction motor regulate in line with synthetic intelligence (AI) thoughts which will make the controller much less delicate to parameter alterations. chosen AI suggestions are utilized for various induction motor regulate concepts. The publication provides a realistic desktop simulation version of the induction motor which may be used for learning quite a few induction motor force operations. The regulate ideas explored contain expert-system-based acceleration keep an eye on, hybrid-fuzzy/PI two-stage keep an eye on, 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 method, and experimental investigations. A bankruptcy is equipped 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 realistic simulation method of get readers begun on force improvement
  • Authored by way of skilled scientists with over twenty years of expertise within the box
  • Provides quite a few examples and the most recent study effects
  • Simulation courses on hand from the book's significant other site

This e-book can be beneficial to graduate scholars and study engineers who concentrate on 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 priceless.

Simulation fabrics to be had for obtain at www.wiley.com/go/chanmotorContent:
Chapter 1 advent (pages 1–7):
Chapter 2 Philosophy of Induction Motor regulate (pages 9–30):
Chapter three Modeling and Simulation of Induction Motor (pages 31–74):
Chapter four basics of clever keep an eye on Simulation (pages 75–108):
Chapter five Expert?System?Based Acceleration keep an eye on (pages 109–132):
Chapter 6 Hybrid Fuzzy/PI Two?Stage keep watch over (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 response to 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 info for Applied Intelligent Control of Induction Motor Drives

Sample text

Using the state equations and Kalman filter, the rotor speed (an extended state) is estimated. Model: Speed estimation function: Complete electrical model of induction motor with an extended state, rotor speed. oo ¼ f ðVds ; Vqs ; ids ; iqs ; oo Þ 8. Neural network algorithm (Simoes and Bose, 1995). Neural network algorithm is based on a learning process. Neural networks have the advantages of extremely fast parallel computation and fault tolerance characteristics due to distributed network intelligence, which would be ideal for speed estimation of an induction motor.

J. and Bj€ orn, W. (1995) Adaptive Control, Addison Wesley Publishing Company, Reading, MA. , Depenbrock, M. and Gierse, G. (1992) Direct Self Control (DSC) of inverter-fed induction machine: a basis for speed control without speed measurement. IEEE Transactions on Industry Applications, 28(3), 581–589. Blashke, F. (1972) The principle of field-orientation as applied to the new ‘transvektor’ closed-loop control system for rotating-field machines. Simians Review, 34(5), 21–220. K. (1981) Adjustable Speed AC Drive Systems, IEEE Press, New York.

B. (1975) Variable speed induction motor drives use electronic slip calculator based on motor voltage and currents. IEEE Transactions on Industry Applications, IA-11(5), 483–488. J. E. J. M. Passino, and MA. Norwell) Kluwer Academic Publishers, pp. 163–168. J. and Bj€ orn, W. (1995) Adaptive Control, Addison Wesley Publishing Company, Reading, MA. , Depenbrock, M. and Gierse, G. (1992) Direct Self Control (DSC) of inverter-fed induction machine: a basis for speed control without speed measurement.

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Applied Intelligent Control of Induction Motor Drives by Tze?Fun Chan, Keli Shi(auth.)


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