摘要
由于一些显著的优点,比如处理非线性系统的最大的能力,比传统控制系统更高的容错能力更快的操作速度,神经网络系统已经被广泛地应用于电力电子领域和AC、DC驱动中,这篇论文将评述神经网络对感应电机的电流控制、感应电机参数识别及控制,包括转子时间常数识别、马达速度、定子磁通估计,转子磁通估计以及DC电机的神经网络间接模型参考自适应控制。
Because of some remarkable features such as greatest promise in the realm of nonlinear control system and higher degree of fault tolerance and speed of operaton than conventional control scheme,the neural network has been applied extensively in power electronics and AC & DC drivesThis paper reviews some typical neural network approaches in the current control of induction motor,identification and control of induction motor parameters involving the rotor time constant and motor speed,stator flux estimation,rotor flux estimation as well as the Indirect Model Reference Adaptive Conrtol of DC motor using neural network
出处
《四川工业学院学报》
1997年第4期27-34,共8页
Journal of Sichuan University of Science and Technology
关键词
神经网络
电力电子
参数识别
感应电机
AC驱动
nearal network
power electronics
identification and control of parameters
stator flux
rotor flux