【摘要】 本文将Hopfield神经网络引入异步电机传动系统的参数辨识 ,通过大量仿真结果 ,详细讨论了在辨识网络输入为经传感器延迟的检测信号的情况下 ,系统能够正确辨识的充分条件更多还原

【Abstract】 In this paper, Hopfield Neural Network (HNN) is adopted for the parameters’ identification of asynchronous motor drive system. Based on large quantities of simulation results, the sufficient condition of correct system identification is derived under the assumption that the HNN inputs are detected signals delayed by sensors.更多还原