无刷直流电机的自适应模糊滑模控制策略研究

为了提高无刷直流电机（BLDCM,brushless dC motor）控制系统的动态响应速度和干扰抑制能力，提出了一种新的自适应模糊滑模控制（AFSMC,adaptive fuzzy sliding mode control）策略。控制系统根据滑模开关函数的取值范围，可以切换滑模控制器的输出，能够改进滑模观测器的抖振现象和系统稳定性。控制器的控制律由自适应模糊控制算法调节，滑模控制器的输出减少了系统不确定时延的影响。根据所提出控制策略建立了仿真模型，并进行了仿真。仿真结果表明，所提出的控制策略能提高系统的动态性能和鲁棒性。该方法用于无刷直流电机的控制是可行的、有效的。

Research on Adaptive Fuzzy Sliding Mode Control Strategy for Brushless DC Motor

To improve the dynamic response speed and disturbance rejection ability of brushless DC motor (BLDCM) control system,an adaptive fuzzy sliding mode control (AFSMC) strategy is proposed.The output of the sliding mode controller can be switched according to the range of sliding mode switch function.The chattering phenomenon and the system stability can be improved.The control law is adjusted by the adaptive fuzzy control algorithm,the output of sliding mode controller reduces the uncertain delay effect of system.The simulation model of control strategy is established and simulated.The simulation results show that the proposed method can improve the dynamic performance and robustness of the system.The proposed method is feasible and effective for the BLDCM control.