Indirect torque control of SRM by intelligent controller with considering torque ripple reduction

Abstract

In this paper, for modifying the transient state and improving dynamic response, an intelligent control method, namely, brain emotional learning based intelligent controller (BELBIC) is used in cascade with a PI conventional controller to control the switched reluctance motor torque indirectly. In the proposed method, the output of the PI controller is compared with the estimated machine torque and then is applied to the intelligent controller. To evaluate the effectiveness of suggested method, some numerical results are presented and speed-torque response is investigated. The obtained results show the robustness with a satisfactory response in the presence of disturbances and uncertain system parameters.