为了准确估计电机的转速，提出了基于人工神经网络的转速估算方法。从感应电机的动态方程出发，推导出了转速的表达式，然后根据转速与定子电压、定子电流、转子磁链之间的非线性关系，建立了两种人工神经网络转速估计模型。仿真结果表明，这两种基于人工神经网络的转速估计模型可以准确跟踪电机转速的变化，即使转子电阻参数发生变化，这两种转速估计模型仍具有良好的性能 In order to accurately estimate the motor speed, a speed estimation method based on artificial neural network is proposed. Based on the dynamic equation of induction motor, the expression of rotational speed is deduced. Based on the nonlinear relationship between rotational speed, stator voltage, stator current and rotor flux, two artificial neural networks rotational speed estimation models are established. The simulation results show that these two kinds of speed estimation models based on artificial neural network can accurately track the change of motor speed, and the two speed estimation models still have good performance even if the rotor resistance parameters are changed