Research on Adaptive Flux-Weakening Control Strategy for Permanent Magnet Synchronous Motors
A self-adaptive adjustment scheme is proposed to address the problem that traditional PI controllers cannot simultaneously achieve nonlinear gain transformation in both high-speed and low-speed weak magnetic field voltage feedback loops.By analyzing the factors that lead to system nonlinearity in the decoupling-voltage-feedback current-lead-angle control loop,an inverse function speed regulator and a fuzzy control current lead angle regulator have been designed.These regulators compensate for the nonlinearity of the voltage control loop under weak magnetic field conditions.Additionally,a clamping anti-saturation module is developed to solve the issue of integral saturation in voltage feedback.On this basis,the particle swarm optimization algorithm is adopted to conduct offline optimization of the fuzzy rule weights and proportional factors in the fuzzy controller.Finally,simulation and experimental results show that the adaptive weak magnetic algorithm exhibits better response characteristics compared to traditional PI voltage feedback control algorithms.
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