In this paper, an adaptive fuzzy control method based on command filtering is proposed for permanent magnet synchronous motors (PMSMs) stochastic nonlinear systems (SNSs) with input saturation in electric vehicle. The unknown stochastic nonlinear functions are approached by the fuzzy logic system (FLS). Then, the command filtering error compensation technology is used to solve “explosion of complexity” problem and compensation signals are utilized to abate the influence of filtering errors. And stochastic Lyapunov functions are selected to analyze the stability of the system. In addition, the iron losses and input saturation for PMSMs in EV stochastic drive systems are considered, which makes the designed controller more practical. Finally, the effectiveness of the approach is intuitively illustrated by simulation results.

针对电动汽车输入饱和的永磁同步电动机（SMSMs）随机非线性系统，提出了一种基于指令滤波的自适应模糊控制方法。模糊逻辑系统（FLS）逼近未知的随机非线性函数。然后，使用命令滤波误差补偿技术来解决“复杂性爆炸”问题，并利用补偿信号来减轻滤波误差的影响。并选择随机Lyapunov函数分析系统的稳定性。此外，还考虑了电动汽车随机驱动系统中PMSM的铁损和输入饱和，这使得所设计的控制器更加实用。最后，仿真结果直观地说明了该方法的有效性。