Adaptive vector control of induction motor drives based on a neuro-fuzzy approach

The paper deals with the design and the experimental realization of an MRAC speed controller for indirect field oriented induction motor drives, based on using fuzzy laws for the adaptive process and a neuro-fuzzy procedure to optimize the fuzzy rules. The variation of the rotor time constant is also compensated 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 means of 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.<
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