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PARAMETER IDENTIFICATION FOR INDUCTION MOTOR DRIVES. USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC

Автор:   BABURAJ K.
мягкая обложка
232 страниц
2009 год
Издательство:   Книга по Требованию
Цена:
3212 руб
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Описание:The soft computational methods such as Artificial Neural Networks and Fuzzy logic are very powerful tools which can be easily applied to AC Drives for making the system robust. In industrial applications, the machine parameters undergo fluctuations. The major challenge in the high performance control of AC Drives is to make the resulting system of controller and plant robust against parameter variations and disturbances. Vector controlled AC Drives are the workhorses in industries for variable speed applications. This book addresses the parameter variation issues in Induction Motor Drives starting with the review of existing technologies and proposes new adaptation techniques using Artificial Neural Networks and Fuzzy Logic for conditions including speed sensorless control. The techniques discussed in this book could be easily extended to most of the AC Drives used in the industry.


Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

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Study on decision support system for the interpretation of laboratory data by an artificial neural network // Rinsho. Byori.- 1994.- V.42, N.2.- P.195-199. 336. Pedrycz W. Neurocomputations in relational systems // IEEE Trans. Pattern Anal. and Mach. Intell.- 1991.- 13, № 3.- PP. 289-297. 337. Pham D.T., Liu X. Statespace identification of dynamic systems using neural networks // Eng. Appl. Artif. Intell.1990.- 3, № 3.- PP. 198-203. 338. Pineda F.J. Recurrent bakpropagation and the dynamical approach to adaptive neural computation. - Neural Comput., 1989. Vol. 1. PP.161–172. 339. Poli R., Cagnoni S., Livi R. et al. A Neural Network Expert System for Diagnosing and Treating Hypertension // Computer.- 1991.- N.3.- P.64-71. 340. Prechelt L. Comparing Adaptive and Non-Adaptive Connection Pruning With Pure Early Stopping // Progress in Neural Information Processing (Hong Kong, September 24-27, 1996), Springer, Vol. 1 pp. 46-52. 341. Real Brains, Artificial Minds/Ed. by J.L. Casti, A. Karlqvist. Norton-Holland, 1987. 226 p. 342. Reinbnerger G., Weiss G., Werner-Felmayer G. et al ...»

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