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直接转矩控制中的定子电阻辨识方法研究
引用本文:刘国荣,周平.直接转矩控制中的定子电阻辨识方法研究[J].控制工程,2012,19(1):41-43,80.
作者姓名:刘国荣  周平
作者单位:1. 湖南工程学院电气与信息工程系,湖南湘潭411101;湘潭大学信息工程学院,湖南湘潭411105
2. 湘潭大学信息工程学院,湖南湘潭,411105
基金项目:湖南省自然科学湘潭市联合基金重点项目
摘    要:针对传统的异步电机直接转矩控制在电机低速运行时系统性能受定子电阻变化影响较大的问题,详细分析了定子电阻变化对系统控制性能的影响,提出了一种基于RBF神经网络的定子电阻辨识方法.该方法应用梯度算法训练RBF神经网络各参数.用该方法对定子电阻进行辨识,具有辨识精度高,响应迅速等优点.对该方法在基于Simulink仿真软件上进行仿真,并与BP神经网络对定子电阻辨识时进行比较.仿真结果表明,该方法优于BP神经网络,可以有效地提高直接转矩控制系统的低速运行性能.

关 键 词:异步电机  直接转矩控制  RBF神经网络  梯度算法  定子电阻辨识

Study on Stator Resistor Identification of Induction Motor in DTC System
LIU Guo-rong , ZHOU Ping.Study on Stator Resistor Identification of Induction Motor in DTC System[J].Control Engineering of China,2012,19(1):41-43,80.
Authors:LIU Guo-rong  ZHOU Ping
Affiliation:1.Department of Electrical and Information Engineering,Hunan Institute of Engineering,Xiangtan 411101,China; 2.College of Information Engineering,Xiangtan University,Xiangtan 411105,China)
Abstract:To solve the effect of stator resistance change of the low-speed performance in direct torque control(DTC),analysed the effect of stator resistance change on DTC system in detail.This paper proposes a scheme of RBF neural network identifying stator resistance used in DTC.This scheme Using gradation algorithm to training parameters of RBFNN.Applying this scheme identifies stator resistor,which have high precision and adaptability.Simulations are carried out to verify the proposed strategy based on the simulink,and compared to BP neural network identifying stator resistance.The simulation results show that the scheme is superior than the BP neural network and capable of effectively improving the low-speed performance in DTC.
Keywords:induction motor  direct torque control  RBF neural network  gradation algorithm  stator resistance identification
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