| 基于小波神经网络的蒸汽发生器动态过程辨识 |
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| 引用本文： | 周刚,张大发,彭威.基于小波神经网络的蒸汽发生器动态过程辨识[J].原子能科学技术,2006,40(Z1):1-4. |
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| 作者姓名： | 周刚 张大发 彭威 |
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| 作者单位： | 海军工程大学 核能科学与工程系，湖北 武汉 ; 430033 |
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| 基金项目： | 海军工程大学校科研和教改项目 |
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| 摘 要： | 在核动力蒸汽发生器(SG)运行过程中，其逆动力学效应使其动态特性难以辨识。为提高蒸汽发生器动态特性辨识的效果，提出了基于小波神经网络的蒸汽发生器动态过程辨识的新方法。辨识模型采用串并联型辨识结构，网络训练采用Levenberg Marququardt学习算法（LMBP）。对蒸汽发生器典型运行工况的辨识结果表明，所提出的方法能够正确地辨识蒸汽发生器的动态特性且具有较高的辨识精度。
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| 关 键 词： | 核动力 蒸汽发生器 小波神经网络 动态过程 辨识 |
| 文章编号： | 1000-6931(2006)S0-0001-04 |
| 收稿时间： | 2006-05-31 |
| 修稿时间： | 2006年5月31日 |
Dynamic Process Identification for Steam Generator Based on Wavelet Neural Network |
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| ZHOU Gang,ZHANG Da-fa,PENG Wei.Dynamic Process Identification for Steam Generator Based on Wavelet Neural Network[J].Atomic Energy Science and Technology,2006,40(Z1):1-4. |
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| Authors: | ZHOU Gang ZHANG Da-fa PENG Wei |
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| Affiliation: | Department of Nuclear Energy Science and Engineering, Naval University of Engineering, Wuhan 430033, China |
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| Abstract: | In the operation of nuclear steam generator(SG), the reverse thermal-dynamic effects make its dynamics characteristic difficult to identify. In order to improve the effect of identification, a new method based on wavelet neural network(WNN) was proposed in this paper. The identification model employs series parallel model and the train algorithm for the WNN adopts the back propagation algorithm of Levenberg Marququar dt type (LMBP). The identification on steam generator typical operation modes was implemented. The results show that employing WNN can identify steam generator dynamic process correctly and has adequate precision. |
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| Keywords: | nuclear power steam generator wavelet neural network dynamic process identification |
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