基于扰动观测器的电动助力转向系统用永磁同步电机鲁棒预测电流控制

Robust prediction current control of permanent magnet synchronous motor for EPS based disturbance observer

为了提高电动助力转向系统中永磁同步电机的电流跟踪性能,采用了无差拍控制策略,但传统无差拍控制的稳定性和控制精度受系统延时和电机参数摄动及其他扰动的影响。因此,提出了一种基于扰动观测器的鲁棒预测电流控制(ARPCC)算法。该算法在无差拍控制基础上增加了电流观测器和扰动观测器,电流观测器预测电机电流,补偿控制延时,扰动观测器通过估计系统扰动提高电流观测和控制精度。仿真和试验结果表明:该算法可以显著提高电流跟踪的稳态性能和动态性能。

The deadbeat control scheme is adopted to improve the current tracking performance of permanent magnet synchronous motor of electric power steering system. However, the stability and accuracy of traditional deadbeat control suffer from time delay, motor parameter perturbation and other disturbances. To overcome this problem, a prediction current control algorithm based on disturbance observer is proposed. The algorithm combines deadbeat control with a current observer and disturbance observer. The current observer estimates the future value of motor current and compensates the time delay; and the disturbance observer estimates the system disturbance to improve the current observation and control precision. Simulation and experiment results demonstrate that the proposed algorithm significantly improves the steady and dynamic performance of current tracking of the electric power steering system.