A New Modeling Method for Switched Reluctance Motor Based on the Fuzzy Logic System

This paper proposes a new modeling method for switched reluctance motor (SRM) based on fuzzy logic system with limited flux linkage samples. Firstly, the flux linkage characteristics at four torque balanced positions are obtained by using an indirect method excluding the rotor clamping devices. Secondly, based on the four flux-linkage curves, the fuzzy logic system is adopted to construct the entire flux linkage characteristics. According to the relationship of flux linkage with the rotor position, the space of the rotor position are divided into three regions. Then, the max products of degrees are calculated to generate the optimal fuzzy rules, and the rules are employed in the defuzzification. The main advantage is that the fuzzy rules are automatically extracted from limited samples without experience of experts. Finally, in order to verify the accuracy and feasibility of the proposed method, the flux linkage characteristics obtained by the proposed method are compared with those measured by rotor clamping method. The comparative results show that the proposed method has a good accuracy for SRM modeling.