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   FUZZY LOGIC SUPERVISION OF ADAPTIVE GENERALIZED PREDICTIVE CONTROL OF INDUCTION MOTOR   [View] 
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 Author(s)   M. A. Brdys; W. L. Sim 
 Abstract   The recently proposed Adaptive Generalized Predictive Control (GPC) for induction motor in [3] is further investigated. A supervisory controller is proposed which updates on-line GPC control loop weights to improve the transients responses and robustness. The design of the supervisory controller employs a fuzzy logic philosophy. The approach is motivated by the fact that relationship between weights and the transient properties cannot be realized by a suitable mathematical model while sufficient qualitative knowledge exists. Feasibility of such an approach is demonstrated by simulation studies of the overall controller operation. 
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Filesize:467.1 KB
 Type   Members Only 
 Date   Last modified 2018-04-16 by System