Simplified selfadaptive fuzzy control of SRM
MA Yunlong, ZHANG Wei
(School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)
Abstract: In order to solve the problems of coupling and nonlinearity of the switched reluctance motor(SRM) drives, the selfadaptive fuzzy control was investigated. After the analysis of the influences of errors and incremental errors in speed control, and the characteristics of SRM, the function between calibration factor and errors and incremental errors was established. A simplified method was presented to find the calibration factor to change fuzzy rules online, and its calculations and performances were also considered. The simulations were evaluated on Matlab. The simplified selfadaptive fuzzy control and PI control were tested on an 8/6 SRM. The results indicate that the robustness of the system can be improved with the simplified selfadaptive fuzzy control. The results indicate the influences of the calibration factor in fuzzy control, and the simplified selfadaptive fuzzy control′s adaptabilities in different situations.
Key words: switched reluctance motor(SRM); calibration factor; selfadaptive fuzzy control