Iterative Learning Control to Reduce Switched Reluctance Motor's Torque Ripple
Huang Haihong (Hefei University of Technology)
In order to reduce switched reluctance m otor 's torque ripple,based on the motor's math model,the iterati ve learning contro l strategy by the feedback of torque is presented. The iterative learning contro l system adjusts the given current via rotor position to reduce torque ripple. T he status of motor's torque variety are simulated aiming at changel ess learning gain,changeable learning gain and load varied,the result shows that th is control strategy is effective.
【CateGory Index】： TM352