Study on the Application of Improved Fuzzy Adaptive Control on PMSM System
Xuhong Yang ,
Chenhao Li ,
Sujie Zhang and
Fengwei Qian
Aiming at the problem of low robustness of fuzzy adaptive control when it is applied to permanent magnet synchronous motor system (PMSM), the study introduced the sliding film control method to optimize it, so as to enhance the robustness of PMSM. The results demonstrated that the torque error of the adaptive fuzzy sliding mode control(AFSMC) was 1.86 Nm, which is 62.8% and 38% less than the peak torque pulsation of 5 Nm and 3 Nm for the fuzzy adaptive control, respectively, and indicates a better steady-state capability when the motor is operated at 1500 rpm and 30 Nm load. In addition, in the robustness validation experiments, under the initial stage, the two methods have the same rotational speed response, but after the parameter changes, the AFSMC adjusts quickly, while the traditional fuzzy adaptive control responds slowly. Moreover, under the same load inertia, the AFSMC exhibits smaller overshoot and faster regulation, smaller speed fluctuation and faster recovery during load surge. In complex scenarios, AFSMC reduces recovery time by 60% over traditional control methods, which demonstrates that the fuzzy adaptive sliding film control proposed by the study is successful in enhancing the system's stability and capability when the PMSM is applied.