An Improved Fuzzy Control for Switched Reluctance Motor Based on Torque Sharing Function

Switched reluctance motor (SRM) is usually in magnetic saturation state and has strong nonlinearity. For some traditional control algorithms, fixed PID parameters can not adapt to all kinds of working conditions, which will also lead to large torque ripple. Therefore, an improved fuzzy control based on torque sharing function (TSF) is presented to improve the dynamic response performance of the speed controller and reduce the torque ripple. This method combines the fuzzy control with the PID control method, and adjusts the proportion factor automatically. Firstly, when the speed error is big, the system adopts fuzzy control; when the speed error is within the set error range, the system adopts PID control, which can eliminate the blind area of the speed controller. Secondly, the speed scale factor and torque scale factor in fuzzy control are self-tuning, according to the characteristics of output torque, the fuzzy rules of torque scale factor are designed. Finally, in order to test the correctness of the presented method, it is compared with the PID and traditional fuzzy methods. Simulation results confirm that the presented scheme can not only improves the response speed of the system, but also decreases torque ripple.