Fuzzy gain based adaptive fuzzy logic controller for BLDCM drive

Abstract

An fuzzy gain based adaptive fuzzy logic controller (FLC) is developed for the speed control of brushless DC motor (BLDCM) drive in this paper. In a FLC, the way to improve the performance of the FLC is to tune the fuzzy rules, membership function and scaling gains of inputs and output. The scaling gains of the inputs and output of the proposed fuzzy controller are parameters that can be tuned conveniently. So, in this paper, an adaptive FLC with the tuning of scaling gains by fuzzy logic is proposed. The advantage of this method is that the universe of discourse of the fuzzy sets can be tuned by adjusting the scaling gains according to the speed error. This significantly improves the dynamic response and steady state performance of the system under the control of the proposed adaptive FLC. In this paper, the principles of tuning scaling gains of the inputs and output are described. The proposed adaptive FLC has the characteristics of robustness, adaptive and facility to take advantage of human control knowledge. The experimental tests are carried out for the proposed adaptive FLC. The experimental results demonstrate that the proposed adaptive FLC presents a superior performance than the conventional FLC.