提出了一种基于观测器的异步电机随机系统模糊反步位置跟踪控制方法:通过构造降维观测器估计转子角速度；采用模糊逻辑系统逼近系统模型中的未知随机非线性函数。利用动态面控制技术解决传统反步设计中存在的“计算爆炸”问题。仿真结果表明：所提出的控制方法可以克服随机扰动的影响，并且确保跟踪误差收敛到足够小的原点邻域内。

An observer-based adaptive fuzzy backstepping position tracking control method for asynchronous motor stochastic system is designed. The reduced-order observer is constructed to estimate the angular speed. The unknown stochastic nonlinear function in the motor model is approximated by fuzzy logic systems. The problem of "explosion of complexity" in traditional backstepping design is solved by using dynamic surface control technique. Simulation results show that the proposed control method can overcome the influence of stochastic disturbance and ensure the adequately small tracking error.

国家重点研发计划项目（2017YFB1303503）；国家自然科学基金项目（61973179，61573204）；泰山学者工程专项项目（TSQN20161026）