一种新型的感应电机速度辨识策略

介绍了一种基于神经网络的感应电机速度估计策略。应用反向传播算法的神经网络实时辨识电机速度 ,其目标函数是目标模型和神经网络模型输出之间差的平方和。速度作为神经网络的一个权值 ,通过反向传播算法来调节使之精确地跟踪实际的电机速度。实验结果表明此方案是可行和有效的

A New Speed Identification Strategy of Induction Motor

This paper describes a newly speed induction motor estimating strategy based on neural networks. A backpropagation algorithm is used to provide neural network real time identification of the motor speed. The object function is the sum of squares of the differences between object model and neural network model output. Speed signal is regarded as a weight of neural network. The backpropagation algorithm is used to adjust the motor speed,so that the neural model output follows the real motor speed. Simulation result shows that the strategy is effective and feasible.