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High Performance Speed and Current Control of SynRM Drive with ALM-FNN and FLC Controller  

Choi, Jung-Sik (순천대학교 전기공학과)
Ko, Jae-Sub (순천대학교 전기공학과)
Chung, Dong-Hwa (순천대학교 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers P / v.58, no.3, 2009 , pp. 249-256 More about this Journal
Abstract
The widely used control theory based design of PI family controllers fails to perform satisfactorily under parameter variation, nonlinear or load disturbance. In high performance applications, it is useful to automatically extract the complex relation that represent the drive behaviour. The use of learning through example algorithms can be a powerful tool for automatic modelling variable speed drives. They can automatically extract a functional relationship representative of the drive behavior. These methods present some advantages over the classical ones since they do not rely on the precise knowledge of mathematical models and parameters. The paper proposes high performance speed and current control of synchronous reluctance motor(SynRM) drive using adaptive learning mechanism-fuzzy neural network (ALM-FNN) and fuzzy logic control (FLC) controller. The proposed controller is developed to ensure accurate speed and current control of SynRM drive under system disturbances and estimation of speed using artificial neural network(ANN) controller. Also, this paper proposes the analysis results to verify the effectiveness of the ALM-FNN, FLC and ANN controller.
Keywords
Synchronous Reluctance Motor; ALM-FNN; FLC; ANN; Fuzzy Control;
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Times Cited By KSCI : 1  (Citation Analysis)
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