| 基于神经网络的无速度传感器感应电机转子电阻辨识方案 |
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| 引用本文： | 王涛,年晓红,杨胜跃,曹霄.基于神经网络的无速度传感器感应电机转子电阻辨识方案[J].变流技术与电力牵引,2007(2):6-10. |
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| 作者姓名： | 王涛 年晓红 杨胜跃 曹霄 |
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| 作者单位： | [1]中南大学信息科学与工程学院,湖南长沙410075 [2]株洲电力机车研究所,湖南株洲412001 |
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| 摘 要： | 针对矢量控制系统提出了一种转子电阻在线辨识方案.应用神经网络理论,以转子磁链电压模型的输出为参考值,神经网络模型的输出为估计值,通过反向传播算法不断调节神经网络的权值,使转子磁链的估计值跟踪参考值,间接辨识出转子电阻.在MATLAB6.5/SIMULINK下,对无速度传感器感应电机矢量控制系统在电阻变化时的情况进行了仿真.仿真结果表明,辨识算法具有较好的静动态性能.
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| 关 键 词： | 无速度传感器 神经网络 电阻辨识 矢量控制 神经网络 速度传感器 感应电机 转子电阻辨识 方案 Artificial Neural Networks Drives Induction Motor Speed Sensorless Scheme Resistance Rotor 静动态性能 辨识算法 仿真结果 情况 电阻变化 SIMULINK 跟踪 权值 |
| 文章编号： | 1671-8410（2007）02-0006-05 |
| 修稿时间： | 2006-11-23 |
Novel Rotor Resistance Idenfication Scheme for Speed Sensorless Induction Motor Drives Using Artificial Neural Networks |
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| WANG Tao,NIAN Xiao-hong,YANG Sheng-yue,CAO Xiao.Novel Rotor Resistance Idenfication Scheme for Speed Sensorless Induction Motor Drives Using Artificial Neural Networks[J].Converter Technology & Electric Traction,2007(2):6-10. |
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| Authors: | WANG Tao NIAN Xiao-hong YANG Sheng-yue CAO Xiao |
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| Institution: | 1.College of Information Science and Engineering, Central South University, Changsha, Hunan 410075,China ; 2.Zhuzhou Electric Locomotive Research Institute, Zhuzhou, Hunan 412001, China |
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| Abstract: | This paper proposes an adaptive scheme for identification of rotor resistance based on the Artificial Neural Networks. By using the BP algorithm theory, the rotor flux error between the voltage model and the neural network model is back propagated to adjust the weights of the neural network model which can be used to calculate the rotor resistance. The simulation scheme of speed sensorless induction motor using vector control is built in the Matlab6.5/Simulink, and the results of simulation indicate that the neural network observer has good steady and dynamic performance. |
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| Keywords: | speed sensorless artificial neural network resistance estimation vector control |
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