A Correction PI-Like Fuzzy Logic Controller for SRM Drives System

Based on the rebuilt of control rule base, a modified type PI-like fuzzy logic controller (FLC) with output scaling factor (SF) self-tuning mechanism is proposed in this paper for application in the switched reluctance motor (SRM) drive system. This paper intends to simplify the construction hierarchy and computational complexity of the controller by trimming the number of fuzzy sets in the membership functions (MFs) but still without losing the system performance and stability. For the proposed controller, the output scaling factor can be adjusted continuously by a gain updating factor, whose value is derived from the fuzzy logic reasoning with the error and change of error of the plant as the input variables. Design considerations about the membership function, rule base, and gain tuning strategy are described in detail. Experimental results and comparisons carried out on a four phase 8/6 pole SRM based on the DS1104 control desk are given to show the feasibility and effectiveness of the devised methods.