基于多层前传网络的异步电机转子磁链和转速辨识  

Identification of Rotor Flux and Speed of Induction Motors by Multilayer Forward Network

作　　者：张伟[1] 陈丹江[1] 

机构地区：[1]浙江万里学院,宁波315100

出　　处：《浙江万里学院学报》2006年第5期52-55,共4页Journal of Zhejiang Wanli University

摘　　要：文章利用多层前传网络对异步电机转子磁链和转速进行直接辨识,多层前传网络具有良好的函数逼近能力,利用误差反传算法对多层前传网络进行训练,使神经网络准确地反映电机转子磁链和转速,在此基础上建立了一个异步电机矢量控制系统.系统仿真结果表明,这种方法能较好地辨识电机转子磁链信号和转速,系统具有良好的动态性能.This paper proposes a method for identifying directly the rotor flux and speed of induction motors using the multiplayer forward networks. The multilayer forward network has the capacity of good function approximations. We use the error backward transmission algorithm to train the multilayer forward network, so that the neural network can identify accurately the rotor flux and speed of induction motor. Based on this fact, we set up an induction motor vector control system and the results of the system simulation shows that this technique can effectively identify the rotor flux signal and speed of the motor, and that the system has good dynamical performance.

关 键 词：多层前传网络 误差反传算法 转子磁链 异步电机 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TM343[自动化与计算机技术—控制科学与工程]