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遗传算法在泵系统液控蝶阀关闭序列优化中的应用 被引量:2

Application of genetic algorithm to the optimization of closing butterfly valve by liquid control in a pumping station system
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摘要 泵系统出口蝶阀的关闭序列对泵系统过渡过程有很大的影响,为优化关闭序列,引入演化计算的遗传算法,将蝶阀的开度和时间作为变量,以系统过渡过程计算的最高压力作为适应函数值,按照一定的概率进行选择、杂交及变异,达到优化效果.计算结果表明,泵出口两阶段关闭叶控阀门的关闭序列对于系统的过渡过程压力上升控制起着重要作用. The closing of butterfly valve had important effect on the transient process in a pumping station system. To optimize the closing of the butterfly valve, a genetic algorithm was introduced. The operational objectives of the algorithm were the corresponding time and opening angle of the closing curve. The highest pressure was as the suitable function value calculated in the system transient. Selection, crossover and mutation were made to achieve optimization effect in accordance with some certain probability. The results of calculation state that the closure policies of butterflies in the pumps' outlet have greatly influence on the pressure incensement of fluid teansient.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2006年第1期74-76,共3页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
关键词 遗传算法 过渡过程 pump-station genetic algorithm (GA) transient process
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