基于无差拍电流预测控制的PMSM电感失配研究

永磁同步电机（PMSM）双闭环调速控制系统中，作为内环的电流环直接制约着控制系统的动态响应性能。无差拍电流预测控制(DPCC)具有算法简单、动态响应快等优势，但DPCC需要精准的电机模型，参数不匹配会引起电流静差和畸变，尤其是电感失配，甚至会导致控制系统不稳定。为解决上述问题，提出改进型DPCC算法。首先，推导了传统DPCC的离散传递函数，分析了其参数敏感性影响。其次，改进DPCC算法，改善其电感参数敏感性，有效扩展电感适用范围，减小电流畸变。最后，通过MATLAB/Simulink仿真和试验验证了在电感失配下改进型DPCC的有效性。

Research on PMSM Inductance Mismatch Based on Deadbeat Predictive Current Control

In the permanent magnet synchronous motor (PMSM) double\|closed\|loop speed control system, the current loop as the inner loop restricts the dynamic responsiveness of the control system directly. Deadbeat predictive current control (DPCC) has the advantages of simple algorithm and fast dynamic response, but DPCC requires an accurate motor model. The mismatch of parameters can cause current static error and distortion, especially the mismatch of inductance. It can cause instability of the control system. To solve the above problems, an improved DPCC algorithm is proposed. The discrete transfer function of traditional DPCC is deduced, and the influence of its parameter sensitivity is analyzed. The DPCC algorithm is further improved to achieve better inductance parameter sensitivity, effectively expand the applicable range of inductance, and reduce current distortion. The effectiveness of the improved DPCC under inductance mismatch is verified by MATLAB/Simulink simulation and experiments.