An Improved Deadbeat Predictive Current Control Method for SPMSM Drives with a Novel Adaptive Disturbance Observer

Abstract

To improve the dynamic performance of conventional deadbeat predictive current control (DPCC) under parameter mismatch, especially eliminate the current overshoot and oscillation during torque mutation, it is necessary to enhance the robustness of DPCC against various working conditions. However, the disturbance from parameter mismatch can deteriorate the dynamic performance. To deal with the above problem, firstly, traditional DPCC and the parameter sensitivity of DPCC are introduced and analyzed. Secondly, an extended state observer (ESO) combined with DPCC method is proposed, which can observe and suppress the disturbance due to various parameter mismatch. Thirdly, to improve the accuracy and stability of ESO, an adaptive extended state observer (AESO) using fuzzy controller based on ESO, is presented, and combined with DPCC method. The improved DPCC-AESO can switch the value of gain coefficients with fuzzy control, accelerating the current response speed and avoid the overshoot and oscillation, which improves the robustness and stability performance of SPMSM. Finally, the three methods, as well as conventional DPCC method, DPCC-ESO method, DPCC-AESO method, are comparatively analyzed in this paper. The effectiveness of the proposed two methods are verified by simulation and experimental results.

Keywords

deadbeat predictive current control (DPCC) / surface-mounted permanent magnet synchronous machine (SPMSM) / extended state observer (ESO) / fuzzy controller / dynamic performance / overshoot