| 开关磁阻电动机智能控制系统设计 |
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| 引用本文： | 陈模江,隋娜.开关磁阻电动机智能控制系统设计[J].微特电机,2007,35(9):15-16. |
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| 作者姓名： | 陈模江 隋娜 |
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| 作者单位： | 1. 中国科学院声学研究所,北京,100080
2. 北京和利时系统工程股份有限公司,北京,100096 |
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| 摘 要： | 针对SRD系统变结构和非线性的特点,引入了一种单神经元与专家知识相结合的智能PI控制方法,该方法避免了对SRD系统建立精确模型,并且当SRD系统结构的变化,该方法可以在线调整PI参数,系统有较好的稳态和动态性能指标。仿真结果表明,该方法具有很强的自学习、自适应能力,证明了这种方法在SRD系统中应用的可行性和可靠性。
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| 关 键 词： | 开关磁阻电动机 单神经元 专家控制 智能控制 |
| 文章编号： | 1004-7018（2007）09-0015-02 |
| 修稿时间： | 2005-07-13 |
Design of Intelligent Control System for Switched Reluctance Motor |
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| CHEN Mo-jiang,SUI Na.Design of Intelligent Control System for Switched Reluctance Motor[J].Small & Special Electrical Machines,2007,35(9):15-16. |
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| Authors: | CHEN Mo-jiang SUI Na |
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| Affiliation: | 1.Institute of Acoustics,Chinese Academy of Sciences,Beijing 100080,China;2.Beijing Hollysys Co.,Ltd.,Beijing 100096,China |
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| Abstract: | According to the variable structure and nonlinear characteristic of switched reluctance motor drive system,an intelligent PI control method which combine neuron with expert knowledge was presented.This method avoided building the system's accurate module and get good performance by adjusting the PI parameter when the system's structure was changed.The simulation results showed it had good self learning and adaptive ability.The effectiveness and capability of the approach used in SRD were demonstrated. |
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| Keywords: | switched reluctance motor neuron expert control intelligent control |
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