Active Disturbance Rejection Based Iterative Learning Control for Direct Torque Control of Switched Reluctance Motor Drive

Aiming at the problem of large torque ripple in switched reluctance motor (SRM), this paper designs a novel direct torque controller using active disturbance rejection based iterative learning control (ADR-ILC). Direct torque control (DTC) scheme shuns the complicated torque-to-current conversion as required in indirect torque control scheme. Without complex realtime implementation or an accurate model of SRM magnetization characteristics, the ADR-ILC method is used to improve the performance of DTC in SRM. The torque sharing function (TSF) is used to distribute the given torque to each phase, where the DTC based on ADR-ILC calculates the required PWM duty cycle value for the converter of SRM. Simulation results show the effectiveness of DTC based on ADR-ILC to achieve constant torque control of SRM.