自调整模糊控制器在永磁同步电机矢量控制中的应用

Application of Self-adjusting Fuzzy Controller in Vector Control of Permanent Magnet Synchronous Motor

模糊控制器对系统模型依赖程度低,性能优异,已经在许多场合得到了应用。传统的永磁同步电机矢量控制系统采用PI控制,在电机参数变化或负载波动较大时性能不佳。针对这一问题,本文设计了一种基于量化因子和比例因子自调整的自适应模糊控制器。仿真结果表明,与传统PI和基本模糊控制器相比,这种参数自调整模糊控制器能使系统具有更好的抗扰性和更优良的稳态性能。

Fuzzy controller has low dependence on the system model, and has been applied on many occasions for its excellent control performance. Traditional vector control system of permanent magnet synchronous motor（PMSM） adopts PI controller, whose performance may not be so good when the motor＇s parameter changes or load fluctuates. To solve this problem, we designed an adaptive fuzzy controller based on self-adjusting of quantization factors and scale factor. Simulation results show that, compared with traditional PI controller and basic fuzzy controller, this parameter self-adjusting fuzzy controller improves system＇s disturbance-resistant ability and steady-state performance.