| 基于模型参考神经网络自适应异步电机无速度传感器矢量控制系统的研究 |
| |
| 引用本文： | 余发山,李云波,卜旭辉,崔立志,李能.基于模型参考神经网络自适应异步电机无速度传感器矢量控制系统的研究[J].工业仪表与自动化装置,2007(1):7-10. |
| |
| 作者姓名： | 余发山 李云波 卜旭辉 崔立志 李能 |
| |
| 作者单位： | 1. 河南理工大学,电气工程与自动化学院,河南,焦作,454000
2. 许昌市禹州通达实业发展有限公司,河南,许昌,461690 |
| |
| 基金项目： | 河南省科技厅科技攻关项目 |
| |
| 摘 要： | 针对在传统的异步电机矢量控制系统中采用编码器、光电码盘等速度传感器来对转速进行检测给系统带来的一些缺陷,该文将模型参考方法和神经网络相结合,提出了一种模型参考BP神经网络的无速度传感器异步电机矢量控制方案,并设计了速度辨识环节.同时对系统进行了仿真和实验,结果表明:该方法具有较强的抗干扰能力,受电机参数影响小,能较好地估计电机转子的转速.
|
| 关 键 词： | 矢量控制 转速辨识 无速度传感器 BP神经网络 模型参考 |
| 文章编号： | 1000-0682（2007）01-0007-04 |
| 收稿时间： | 2006-05-31 |
| 修稿时间： | 2006-05-31 |
The research of speed sensorless asynchronous machine vector control system based on the model reference adaptive neural network |
| |
| YU Fa-shan,LI Yun-bo,BU Xu-hui,CUI Li-zhi,LI Neng.The research of speed sensorless asynchronous machine vector control system based on the model reference adaptive neural network[J].Industrial Instrumentation & Automation,2007(1):7-10. |
| |
| Authors: | YU Fa-shan LI Yun-bo BU Xu-hui CUI Li-zhi LI Neng |
| |
| Affiliation: | 1. College of Electrical Engineering and Automation under Henan Polytechnic University ,Henan Jiaozuo 454000, China |
| |
| Abstract: | In view of uses the encoder,the light code disc uniform velocity sensor in the traditional asynchronous machine vector control system comes to the rotational speed to carry on the examination some flaws which brings to the system. This article unified the model reference method and the neural network, proposed one kind of model referred to the BP neural network not to have the velocity generator the asynchronous machine vector control plan, and designed the speed to recognize the link. Meanwhile has carried on the simulation and the experiment to the system, the result indicated that, this method has the strong antijamming ability, the receiver parameter affects slightly, can estimate the rotational speed well. |
| |
| Keywords: | vector control speed identification speed sensorless BP neural network MRA |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
