Research on Adding Fuzzy Stage to Permanent Magnet Motor Based on Synovial Control
摘要
In the context of modern industrialization, permanent magnet synchronous motors (PMSMs) have seen increasingly widespread application due to their high efficiency and robust performance. Synovial control methods are typically employed to enhance response speed and mitigate external disturbances. However, to tackle the increasingly significant issue of chattering in synovial control, this paper proposes a novel synovial control strategy that integrates a fractional order integral control stage with a fuzzy logic stage. The conventional synovial controller is substituted with a fractional order synovial controller, while an additional fuzzy control stage is incorporated at the front end. This approach aims to optimize the system's dynamic characteristics by leveraging the memory properties of fractional integration alongside the adaptive adjustment capabilities of fuzzy logic, thereby reducing external and unknown interference factors. Simulation results obtained from MATLAB/Simulink demonstrate that this control strategy effectively diminishes chattering phenomena. In comparison to traditional synovial controls, the enhanced scheme incorporating a fuzzy controller significantly improves both dynamic response quality and steady-state performance of PMSMs, particularly under conditions involving load fluctuations and external disturbances.