| 基于RBF神经网络的永磁同步电机在线辨识与模型参考自适应控制 |
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| 引用本文： | 蔡智慧,唐忠,马士英. 基于RBF神经网络的永磁同步电机在线辨识与模型参考自适应控制[J]. 华东电力, 2008, 36(2): 108-112 |
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| 作者姓名： | 蔡智慧 唐忠 马士英 |
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| 作者单位： | 1. 长沙理工大学,电气与信息工程学院,湖南,长沙,410076
2. 上海电力学院,计算机与信息工程学院,上海,200090 |
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| 摘 要： | 永磁同步电机控制系统是多变量和非线性的。针对传统PI控制方法的不足,提出了一种基于RBF神经网络的永磁同步电机在线辨识与模型参考自适应控制方法。该方法利用RBF神经网络极强的非线性映射能力,通过对神经网络的离线和在线训练,实现了电机速度的自适应控制。仿真结果表明该方法控制精度高,动、静态特性好。
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| 关 键 词： | 永磁同步电机 自适应控制 RBF神经网络 矢量控制 在线辨识 |
| 文章编号： | 1001-9529(2008)02-0108-05 |
| 修稿时间： | 2007-08-01 |
RBF neural network based on-line discrimination and model reference self-adaptive control for permanent magnet synchronous motors |
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| CAI Zhi-hui,TANG Zhong,MA Shi-ying. RBF neural network based on-line discrimination and model reference self-adaptive control for permanent magnet synchronous motors[J]. East China Electric Power, 2008, 36(2): 108-112 |
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| Authors: | CAI Zhi-hui TANG Zhong MA Shi-ying |
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| Abstract: | The control system of the permanent magnet synchronous motor is multi-variable and non-linear. To solve the defects of the traditional PI control method,a RBF neural network based on-line discrimination and model reference self-adaptive control method for permanent magnet synchronous motors is proposed which achieves the adaptive control of the motor speed by using the outstanding non-linear mapping ability of RBF neural network and the off-line and on-line training of the neural network.Simulations show that the method has high control accuracy and good dynamic and static characteristics. |
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| Keywords: | permanent magnet synchronous motor self-adaptive control RBF neural network vector control on-line discrimination |
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