Design and Implementation of an Adaptive Fuzzy Logic Speed Controller for SRM Drive

This paper proposes an intelligent adaptive self- tuned Fuzzy- Logic- Controller (FLC) for Switched Reluctance Motor (SRM) drive. The proposed controller combines the merits of conventional PI and scaling factor tuned FLC. The robustness of the FLC is increased by tuning the scaling factor in FLC, according to speed and load variations. The speed error function is integrated in the proposed controller to choose between PI and Self Tuned FLC. The results indicate that outperformance of the proposed controller than the conventional controllers, in terms of time response and steady state speed error.