For the sake of resolving the problem of large torque ripple problem of switched reluctance motor

especially under hysteresis control strategy

back propagation (BP) neural network control strategy is introduced on the account of traditional direct instantaneous torque control

and the direct instantaneous torque control is optimized and adjusted with the square of the torque error as the performance index function

which restrains the torque ripple of the motor during operation. In addition

based on the overall double closed-loop control

sliding mode control is introduced for the improvement of the speed link

which improves the response speed and robustness of the system. Finally

Matlab/Simulink is used for simulating the traditional direct instantaneous torque control and optimized direct instantaneous torque control

the effectiveness and feasibility of the proposed strategy are proved.