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首页> 外文会议>First Joint Conference IAHR-IWA on Pumps, Electromechanical Devices and Systems Applied to Urban Water Management Vol.2; 2003; Polytechnic University of Valencia Spain >Application of genetic algorithm to the optimization of the closing of liquid control slow closing butterfly valve in a pumping station
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Application of genetic algorithm to the optimization of the closing of liquid control slow closing butterfly valve in a pumping station

机译：遗传算法在泵站液控缓闭蝶阀关闭优化中的应用

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The closing policy of butterfly valve at the outlet of pump is important to the transient analysis of a pumping station system. This article presents a genetic algorithm to optimize the closing policy of the butterfly valve. The operational objectives of the algorithm are the corresponding time and opening angle of the closing curve. The highest pressure of the transient analysis gives the values of the objective fitness functions for a series of closing laws. The old series of closing policies is used to generate a new series of closing policies through reproduction, crossover and mutation with certain probabilities. The operation continues until convergence. The valve stroking of butterfly valve at the outlet of pump in a pumping station makes a large effect to prevent the ascension of hydraulic pressure after the pump failure, for different system, it makes a larger different effect, different methods of valve stroking are calculation for test when the pumps system is analyzed, this paper discusses the application of genetic algorithm to the optimization of the closing policy of the butterfly valve in a pumping station.
机译：泵出口蝶形阀的关闭策略对于泵站系统的瞬态分析很重要。本文提出了一种遗传算法来优化蝶阀的关闭策略。该算法的操作目标是闭合曲线的相应时间和打开角度。瞬态分析的最高压力给出了一系列闭合定律的目标适应度函数值。旧的关闭策略系列用于通过具有一定概率的复制，交叉和变异来生成新的关闭策略系列。该操作一直持续到收敛。泵站泵出口蝶阀的阀行程起到很大的防止泵失效后液压压力升高的作用，对于不同的系统，产生较大的不同效果，计算不同的阀行程方法。在分析泵系统时进行测试，讨论了遗传算法在优化泵站蝶阀关闭策略中的应用。

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