| 基于人工神经网络识别DC/DC变换器混沌行为的研究 |
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| 引用本文： | 钟洁,于盛林.基于人工神经网络识别DC/DC变换器混沌行为的研究[J].安徽工程科技学院学报,2002,17(4):1-6. |
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| 作者姓名： | 钟洁 于盛林 |
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| 作者单位： | 南京航空航天大学自动化学院测试工程系,江苏南京210016 |
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| 基金项目： | 中国科学院资助项目;59677021; |
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| 摘 要： | DC-DC变换器在某些特殊参数下,其工作行为会发生很大的变化,由稳态发展成混沌态,输出特性呈恶化趋势.以PWM型BUCK变换器为研究对象对其在不同电路参数下的输出信号进行了分析研究,提出采用人工神经网络识别DC-DC变换器的混沌行为,首先对DC/DC变换器的输出信号进行特征值的提取,并提出了改进学习算法,加快收敛速度.最终通过仿真和实验验证了该方法的可行性.
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| 关 键 词： | DC-DC变换器 ν-i相空间图 混沌 付里叶描述符 BP网络 |
| 文章编号： | 1007-5240(2002)04-0001-06 |
| 修稿时间： | 2002年7月17日 |
Identifying chaotic behavior of DC-DC converter based on neural network |
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| ZHONG Jie,YU Sheng lin.Identifying chaotic behavior of DC-DC converter based on neural network[J].Journal of Anhui University of Technology and Science,2002,17(4):1-6. |
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| Authors: | ZHONG Jie YU Sheng lin |
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| Abstract: | A DC-DC converter can give rise to a great variety of behaviors and unstable output signals, depending on the values of the parameters of the circuit. The behaviors can become chaotic from stable work state and the output performance tends to be worse. In this paper, a PWM Buck converter is studied as a research object, the output signals of DC-DC converter in different parameters of the circuit are analyzed. A method of using neural network to identify chaotic behavior of DC-DC converter is put forward. The characteristic of the output signals of DC/DC converter is extracted firstly and the algorithm of BP is improved to quicken convergent speed. Finally, it validity is proven by simulation and experiment. |
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