| DC/DC变换器的一种神经网络控制方法 |
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| 引用本文： | 陈维,黄辉先.DC/DC变换器的一种神经网络控制方法[J].湘潭大学自然科学学报,2005,27(3):105-109. |
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| 作者姓名： | 陈维 黄辉先 |
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| 作者单位： | 湘潭大学,信息工程学院,湖南,湘潭,411105 |
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| 摘 要： | 为了消除Buck—Boosl变换器为代表的DC／DC（直流，直流）变换器最小相位性质的影响．对其输出电压进行控制，分析模型特性．采用非线性反馈控制电流内环．用RBF（径向基函数）神经网络设计了神经网络控制器控制输出电压外环，分析了系统的稳定性．仿真结果表明．提出的控制器动、静态性能很好．对变换器中元件参数的变化和负载电阻的扰动有较好的鲁棒性．
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| 关 键 词： | 变换器 非最小相位系统 神经网络 |
| 文章编号： | 1000-5900（2005）03-0105-05 |
| 收稿时间： | 2005-03-26 |
| 修稿时间： | 2005年3月26日 |
A Neural Network Control Method for DC/DC Converters |
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| CHEN Wei,HUANG Hui-xian.A Neural Network Control Method for DC/DC Converters[J].Natural Science Journal of Xiangtan University,2005,27(3):105-109. |
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| Authors: | CHEN Wei HUANG Hui-xian |
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| Institution: | Information Engineering College, Xiangtan University, Xiangtan 411105 China |
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| Abstract: | The main characteristics of the Buck - Boost converter which is treated as the example of DC/DC converters are analyzed. The inductor current of the Buck - Boost converter is controlled using a nolinear feedback inner loop. Employing a RBF(radical basis function) neural network, a neural network controller is proposed for the output voltage control of the Buck - Boost converter. The asymptotical stability of the proposed controller is proved. The good dynamic and static performance and the good robustness of the proposed method are illustrated through simulation results. |
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| Keywords: | converter nonminimum phase system neural network |
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