An Application of Adaptive Fuzzy Logic Controller for Switched Reluctance Motor Drive

Abstract

This paper develops an adaptive fuzzy logic controller (FLO) for the speed control of switched reluctance motor (SRM) drive. In a FLC, the method to improve the performance of the FLC is to tune the fuzzy rules, membership function and scaling gains of input and output. The scaling gains of the input and output of the proposed FLC are parameters that can be tuned conveniently. So, in this paper, an adaptive FLC with the tuning of scaling gains 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 transient 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 input 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.