基于BP网络的异步电机无定子电阻的转速估算

Speed Estimation of Induction Motor Based on BP Neural Networks with Non-Stator Resistance

根据异步电机的数学模型,经过一定的变换,消除异步电动机定子电阻的影响,利用电机易于检测到的定子电压和电流,通过Simulink模块和S-函数建立起自适应神经网络辨识模型.该方法适应范围宽、响应速度快.仿真结果表明:采用该模型估算出的转速具有较高的精度.

The impact of the resistance of induction motor stator can be eliminated by transforming the mathematical model of induction motor. Using easily-measured voltage and current of motor stator, an identification model of self-adaptive neural network is created by Simulink and S-function. This algorithm has wide adaptive range and fast response. The simulation results show that the estimated speed of this algorithm has high accuracy