FUZZY ADAPTIVE VECTOR CONTROL OF INDUCTION-MOTOR DRIVES

This paper deals with the design and experimental realization of a spe ed model reference adaptive control (MRAC) system for indirect field-o riented (IFO) induction motor drives based on using fuzzy laws for the adaptive process and a neuro-fuzzy procedure to optimize the fuzzy ru les. Variation of the rotor time constant is also accounted by perform ing a fuzzy fusion of three simple compensation strategies. A performa nce comparison between the new controller and a conventional MRAC cont rol scheme is carried out by extensive simulations confirming the supe riority of the proposed fuzzy adaptive regulator. A prototype based on an induction motor drive has been assembled and used to practically v erify the features of the proposed control strategy.