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Fuzzy adaptive vector control of induction motor drives

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4 Author(s)
E. Cerruto ; Dipartimento Elettrico Elettronico e Sistemistico, Catania Univ., Italy ; A. Consoli ; A. Raciti ; A. Testa

This paper deals with the design and experimental realization of a model reference adaptive control (MRAC) system for the speed control of indirect field-oriented (IFO) induction motor drives based on using fuzzy laws for the adaptive process and a neuro-fuzzy procedure to optimize the fuzzy rules. Variation of the rotor time constant is also accounted for by performing a fuzzy fusion of three simple compensation strategies. A performance comparison between the new controller and a conventional MRAC control scheme is carried out by extensive simulations confirming the superiority of the proposed fuzzy adaptive regulator. A prototype based on an induction motor drive has been assembled and used to practically verify the features of the proposed control strategy

Published in:

IEEE Transactions on Power Electronics  (Volume:12 ,  Issue: 6 )