| 基于免疫遗传模糊神经网络的永磁同步电机控制 |
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| 引用本文： | 乔维德. 基于免疫遗传模糊神经网络的永磁同步电机控制[J]. 电气传动, 2008, 38(5): 18-21 |
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| 作者姓名： | 乔维德 |
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| 作者单位： | 常州市广播电视大学,江苏,常州,213001 |
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| 摘 要： | 在分析永磁同步电动机(PMSM)数学模型的基础上,提出了一种基于免疫遗传算法(IGA)的递归模糊神经网络(RFNN)控制器的设计方法,并应用于永磁同步电动机双闭环矢量控制系统中的转速控制器中,对永磁同步电动机实现精确的速度控制.在与传统PI控制和递归模糊神经网络控制仿真比较中,采用该方法的系统显示出良好的控制性能和控制效果.
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| 关 键 词： | 永磁同步电动机 递归模糊神经网络控制器 免疫遗传算法 矢量控制 |
| 修稿时间： | 2007-04-20 |
Control for PMSM Based on Immune-genetic Algorithm and Fuzzy Neural Network |
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| QIAO Wei-de. Control for PMSM Based on Immune-genetic Algorithm and Fuzzy Neural Network[J]. Electric Drive, 2008, 38(5): 18-21 |
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| Authors: | QIAO Wei-de |
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| Abstract: | According to the mathematical model of a permanent magnetism synchronous motor(PMSM),a novel design method of the recursive fuzzy-neural network(RFNN) controller based on immune-genetic algorithm(IGA),was proposed for applying in speed controller of PMSM double closed-loop vector control system to realize the accurate speed control.Simulation comparison with traditional PI control and RFNN control show that,the system based on this method of RFNN has better control performances and effects. |
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| Keywords: | permanent magnetism synchronous motor(PMSM) recursive fuzzy-neural network(RFNN) controller immune-genetic algorithm(IGA) vector control |
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