A modified PI-like fuzzy logic controller for switched reluctance motor drive

Based on the redevelopment of control rule base, a modified type PI-like fuzzy logic controller with output scaling factor (SF) self-tuning mechanism is proposed and experimentally testified in this paper for application in the switched reluctance motor (SRM) drive system. This paper aims to simplify the structure hierarchy and computational complexity of the controller by reducing the number of fuzzy sets in the membership function (MF) but still without losing the system performance and stability. For the proposed controller, the output scaling factor can be tuned 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. The rule base is built based on the practical understanding and knowledge of the SRM´s basic dynamic behavior, operating mode and experimental experience. Various aspects of the design considerations about the membership function, rule base, and gain tuning strategy are described in detail. Experiments and results comparison carried out on a four phase 8/6 pole SRM based on the platform of dSPACE DS1104 control desk are given to show the feasibility and effectiveness of the devised methods as well as support the theoretical considerations.