Model Reference Adaptive Fuzzy Controller for Permanent Magnet Synchronous Motor

Conventional control depends on the mathematical model of the plant being controlled. When this model is uncertain, intelligent controllers promise better performance. This paper presents a theoretical study on model reference adaptive fuzzy logic controller for vector controlled Permanent Magnet Synchronous Motor (PMSM) drive. In the proposed system, Fuzzy Logic Control (FLC) is used to implement the direct current, the cascaded speed, the quadrate current and as well as the adaptation mechanism. The FLC requires expertise knowledge of the process operation for FLC parameter setting, and the controller can be only as good as the expertise involved in the design. To make the controller less dependent on the quality of the expert knowledge, the fuzzy speed controller is augmented by the model following error driven fuzzy adaptive mechanism to compensate this deficiency and reduce the influence of parameter variations. The effectiveness and robustness of the proposed scheme is demonstrated by some simulation results.