基于超螺旋滑模扰动观测器的永磁同步电机无传感器抗干扰控制策略研究

目的 提高包装行业中自动化设备的工作精准度，优化传统永磁同步电机无传感器控制系统的稳定性，提高电机遭遇内外扰动后的系统鲁棒性和抗扰动性能。方法 引入超螺旋滑模算法，设计一种超螺旋滑模MRAS观测器来提高系统的稳定性，同时利用滑模扰动观测器对电机良好的动态进行性能追踪，利用超螺旋滑模算法对其进行性能优化，提出超螺旋滑模MRAS观测器和超螺旋滑模扰动观测器对永磁同步电机复合控制的策略。结果 该方案有效降低了电机遭遇扰动时转速估计误差，误差在0.8r/min附近波动，明显提高了电机控制系统遭遇干扰后的响应速度。结论 在MATLAB/SIMULINK中进行实验仿真，结果表明所提控制策略提高了系统的鲁棒性和追踪精度，加强了系统的抗干扰能力。

Sensorless Anti-disturbance Control Strategy of Permanent Magnet Synchronous Motor Based on Super-twisting Sliding Mode Disturbance Observer

The work aims to improve the working accuracy of automation equipment in the packaging industry, optimize the stability of the sensorless control system of the traditional permanent magnet synchronous motor, and improve the system robustness and anti-disturbance performance when the motor encounters internal and external disturbances. A super-twisting sliding mode was introduced to design a super-twisting sliding mode MRAS observer to improve the stability of the system. Simultaneously, according to the good dynamic tracking performance of the sliding mode disturbance observer for the motor, the super-twisting sliding mode algorithm was used to optimize its performance. Besides, a combined control strategy of a super-twisting sliding mode MRAS observer and a super-twisting sliding mode disturbance observer for permanent magnet synchronous motors was proposed. This scheme effectively reduced the speed estimation error when the motor encountered disturbances, and the error fluctuated around 0.8 r/min, which significantly improved the response speed of the motor control system after encountering disturbances. The experimental simulation is carried out in MATLAB/SIMULINK, and the results verify that the control strategy proposed not only improves the robustness and tracking accuracy of the system, but also strengthens the anti-interference ability of the system.