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基于神经网络的无速度传感器直接转矩控制系统的研究
Study of Speed-Sensorless Direct Torque Control System Based on Neural-Network
【摘要】 针对传统的直接转矩控制系统 ,定子磁链受定子电阻及积分计算的影响 ,辨识不准确及使用速度传感器的不足 ,通过采用新型磁链观测器 ,获得全速范围内准确的定、转子磁链 ,并以此为基础 ,采用神经网络辨识电动机转速 ,通过仿真和实验证明系统有较好的性能
【Abstract】 In the conventional direct torque control system,the stator flux can’t be identified accurately because of the change of the stator resistance and the integral calculation,and the speed sensor has its deficiency.This paper deals with these problems.The accurately stator flux of full speed range is acquired by adopting new flux observer,and the motor speed is identified by adopting neural network based on it.At the end,the simulation and experiment results are presented.
- 【文献出处】 电工技术学报 ,Transactions of China Electrotechnical Society , 编辑部邮箱 ,2003年02期
- 【分类号】TP183;TM921.5
- 【被引频次】59
- 【下载频次】337