自适应神经网络在异步电动机转速辨识中的应用

Application of Adaptive Neural Network in Speed Identification for Induction Motor

描述了基于神经网络技术的无速度传感器矢量控制。运用BP神经网络在线对电机转速进行辨识,并以调节电机转速使神经网络输出跟踪参考模型输出。对实际电机进行了仿真验证,证明该方法的可行性和高效性。

A speed sensorless drive based on neural networks technigue was described. The backpropagation neural networks technigue was used to provide a real - time adaptive identification of the motor speed. This BP mechanism forced the estimated speed to follow precisely the actual motor speed.