Improved Adaptive Speed Control of Induction Motor

Abstract

This paper presents a novel model reference adaptive control scheme using reference model modification through fuzzy logic to control the speed of an induction motor. The scheme is developed to cope with uncertainties and disturbances that a plant under control might undergo that a single reference model cannot handle. The main concept of the proposed philosophy is to ensure automatic change of the controller parameters so that they correspond to the current plant environment and provide an appropriate control action to improve the overall control system performance. This is carried out through a fuzzy logic evaluation block whose input signals are the command signal and an auxiliary output at each sampling interval. This information is then used in the fuzzy rules to compute the proper values of the reference model parameters for that instant. The effectiveness of the proposed technique is demonstrated through computer simulation. The obtained results fully confirm the validity of the proposed scheme.