| 基于BP神经网络的水轮机综合特性建模仿真 |
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| 引用本文： | 谭剑波,把多铎,高立明,刘慧霞. 基于BP神经网络的水轮机综合特性建模仿真[J]. 中国农村水利水电, 2010, 0(3): 140-142 |
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| 作者姓名： | 谭剑波 把多铎 高立明 刘慧霞 |
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| 作者单位： | 西北农林科技大学水利与建筑工程学院,陕西,杨凌,712100 |
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| 摘 要： | 针对目前对水轮机特性曲线数据处理方法精度不高,不能真实地反映水力机组在过渡过程的流量特性和力矩特性的问题,利用BP神经网络与Matlab相结合,对水轮机综合特性曲线进行建模仿真。由已知综合特性曲线结合边界控制点经神经网络训练获得低效区的流量延拓、力矩延拓和导叶浆叶协联关系仿真曲面。BP神经网络模型大大提高了水轮机综合特性曲线数据处理效率与精度,是研究水轮机控制系统的一种新的非线性建模仿真模型。
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| 关 键 词： | BP神经网络 水轮机特性曲线 曲面延拓 Matlab 建模仿真 |
Modeling and Simulation of Hydro-turbine Synthetic Characteristic Based on BP neural network |
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| TAN Jian-bo , BA Duo-duo , GAO Li-ming , LIU Hui-xia. Modeling and Simulation of Hydro-turbine Synthetic Characteristic Based on BP neural network[J]. China Rural Water and Hydropower, 2010, 0(3): 140-142 |
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| Authors: | TAN Jian-bo BA Duo-duo GAO Li-ming LIU Hui-xia |
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| Affiliation: | TAN Jian-bo,BA Duo-duo,GAO Li-ming,LIU Hui-xia(College of Water Conservancy , Architectural Engineering,Northwest Agricultural , Forestry University,Yangling 712100,Shaanxi Province,China) |
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| Abstract: | Considering the precision of the present data treatment is not high,the real hydraulic flow and torque characteristics in the transient process can not be reflected.the BP neural network and Matlab models are combined and the hydro-turbine synthetic characteristic curves are simulated.From the known discrete data and constraint conditions,simulation surface of extent flow,extent torque are obtained and linked characteristics of guide vane and blade in low efficiency region are established.BP neural network ... |
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| Keywords: | BP neural network hydro-turbine synthetic characteristic curve surface extension Matlab modeling and simulation |
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