Model reference adaptive fuzzy controller for induction motor using auto-attentive approach

This paper presents a model reference adaptive fuzzy speed controller for induction motor using the auto-attentive approach. It consists of developing an adaptive controller that can track the change of the operating point and the plant parameters even in magnetic saturation mode. The adaptive mechanism should be fast enough for all the tracking process. The proposed approach helps to increase the accuracy of the controller around the set point and keep the number of the roles in the rule-base as low as possible. This would minimize the computation complexity and enhance the system performance.