基于滑模解耦的EPS用PMSM鲁棒预测电流控制

摘要

在电动助力转向系统中,基于无差拍控制的永磁同步电机电流控制算法的使用,可有效提高电流的跟踪性能.但受系统延时、电机参数摄动及外部干扰的影响,传统的无差拍控制无法保证系统对稳定性和控制精度的要求.在原系统上增加鲁棒电流预测算法后,又提出了一种基于自适应离散滑模电流解耦算法,使系统提高稳定性的同时,解决了动态耦合的影响.仿真结果表明,该算法配合鲁棒电流的无差拍控制算法,可以显著地提高电流的跟踪速度和控制精度.%Applying current control algorithm for permanent magnet synchronous motor based on deadbeat control to electric power steering system could improve the current tracking performance effectively.But traditional deadbeat control fails to guarantee the demand of system on stability and control precision as impacted by system delay,motor parameter perturbation and external interference.The original system was equipped with robust current prediction algorithm,and a current decoupling algorithm based on adaptive discrete synovial control was proposed to improve the system stability and eliminate the influence of dynamic coupling.The simulation results indicate that the proposed algorithm combined with robust current deadbeat control algorithm can significantly improve the tracking velocity and control precision of the current.