| 基于改进BP网络的轴流式水轮机调节特性仿真 |
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| 引用本文： | 谭剑波,把多铎,高立明.基于改进BP网络的轴流式水轮机调节特性仿真[J].人民长江,2010,41(2):60-63. |
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| 作者姓名： | 谭剑波 把多铎 高立明 |
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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： | 为了获得水力机组在小开度、小流量工况点下非线性特性数据,利用改进BP网络与MATLAB神经网络工具箱相结合的方法,将已知的水轮机综合特性曲线数据与边界约束点相结合,经网络自动"学习"训练可获得低效区的流量延拓、力矩延拓仿真曲面。改进BP网络模型可以大大地提高水轮机综合特性曲线数据处理的效率与精度,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： | 改进BP网络 水轮机综合特性 边界约束 MATLAB仿真 |
Modeling and simulation for regulation characteristics of Kaplan turbine based on improved BP neural network |
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| TAN Jianbo,BA Duoduo,GAO Liming.Modeling and simulation for regulation characteristics of Kaplan turbine based on improved BP neural network[J].Yangtze River,2010,41(2):60-63. |
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| Authors: | TAN Jianbo BA Duoduo GAO Liming |
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| Affiliation: | TAN Jianbo,BA Duoduo,GAO Liming(College of Water Conservancy , Architectural Engineering,Northwest University,Yangling 712100,China) |
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| Abstract: | Combining the improved BP neural network and MATLAB neural network toolbox,we simulate the turbine synthetic characteristic curves.From the known discrete data and boundary constraints,we obtain the simulation surface of flow extension and torque extension in the low efficiency area.The improved BP neural network model becomes a new nonlinear model simulation for studying the hydro-turbine control system. |
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| Keywords: | improved BP neural network turbine synthetic characteristic boundary constraints MATLAB simulation |
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