无轴承永磁同步电主轴的模糊滑模位移控制

Fuzzy Sliding Mode Displacement Control of BPMSMS

为满足无轴承永磁同步电主轴高性能转子位移控制要求,结合遗传算法寻优快及模糊控制能柔化控制信号的优点,设计一种将滑模等效控制、模糊控制和遗传算法有机结合的电主轴转子位移控制策略,在滑模控制中引入模糊切换增益,并通过遗传算法对模糊滑模控制器参数进行优化,从而获得最佳控制效果。结果表明:模糊滑模控制降低了系统在传统滑模控制下的抖振,遗传算法优化后模糊滑模控制下的不同轴向稳态转子振动峰峰值较优化前分别减小了53%和27.5%。

To meet the requirements of high performance rotor displacement control of bearingless permanent magnet synchronous motorized spindles,and by integating the advantages of fast genetic algorithm and softening control signal,a rotor displacement control strategy which organically combines sliding mode equivalent control,fuzzy control and genetic algorithm is proposed.The fuzzy switching gain is introduced in the sliding mode control.The fuzzy sliding mode controller parameters are optimized by genetic algorithm to obtain the best control effect.The results show that the fuzzy sliding mode control reduces the chattering of the system under the traditional sliding mode control.The peak-to-peak values of different axial steady-state rotor vibrations under fuzzy sliding mode control optimized by the genetic algorithm are reduced by 53% and 27.5% respectively.