A Torque Sharing Optimization Control Strategy for Switched Reluctance Motors
Aiming at the problem of larger torque ripple of switched reluctance motors,a compensation cosine torque sharing optimization control strategy for switched reluctance motors was proposed by improving the traditional cosine torque sharing function. Based on the steady-state deviation between the actual torque and the desired torque,the proposed method introduced a Fourier approximation curve to compensate the distributed torque. A power conversion circuit with double-off-angle drive control was used to achieve zero-voltage freewheeling and im-prove the tracking ability of the actual torque to the distributed torque. To obtain better control performance,a ge-netic algorithm was further used to globally optimize the control parameters with the goal of reducing torque ripple and copper loss. A four-phase 8/6 pole switched reluctance motor was modeled and simulated to verify the effec-tiveness of the proposed strategy. The results showed that compared with the traditional cosine torque sharing con-trol,the proposed control strategy could improve the performance of the motor at different speeds,with torque ripple decreased by up to 68.89％ and root mean square current reduced by up to 11.74％.
万方数据
维普
