矢量控制系统的速度控制及速度辨识新方法研究  

Research on New Methods of Speed Control and Speed Identification for the Vector Control System

作　　者：肖金凤[1] 黄守道[2] 

机构地区：[1]南华大学,湖南衡阳421001 [2]湖南大学,湖南长沙410082

出　　处：《微特电机》2005年第3期7-9,共3页Small & Special Electrical Machines

基　　金：湖南省自然科学基金资助项目(02JJY2089)

摘　　要：介绍了异步电动机矢量控制系统神经网络速度控制器的设计方法;同时提出了将开环直接计算与模型参考自适应方法相结合的神经网络混合转速辨识模型。仿真结果表明,基于该速度控制器和速度估计器的矢量控制系统动静态性能好,解决了瞬时无功模型参考自适应方法的转速不稳定问题,转速估计精度高。In this paper,the design method of neural network speed controller for the vector control system of induction motor is introduced.And a new hybrid speed identification method is also proposed, which based on the neural network,combines the open loop estimator and the instantaneous reactive power model reference adaptive system.The simulation results show that the vector control system based on this speed controller and speed estimation has better dynamic and static performance,it solves the instability based on the instantaneous reactive power in the regenerating mode, and has high estimating precision.

关 键 词：矢量控制 速度控制器 混合转速辨识 

分 类 号：TM343[电气工程—电机]