Multi-objective optimization of high-speed on-off valve based on surrogate model for water hydraulic manipulators
Multi-objective optimization of high-speed on-off valve based on surrogate model for water hydraulic manipulators
复制标题
基于代理模型的水液压机械手高速开关阀多目标优化
DOI：
10.1016/j.fusengdes.2021.112949
复制
发表时间：
2021-11
影响因子：
1.7
通讯作者：
Hui Ji
中科院分区：
文献类型：
--
作者：
Qingtong Liu;Fanglong Yin;Songlin Nie;Ruidong Hong;Hui Ji
水力机械手适用于反应堆的远程操作维护任务。水液压伺服阀目前应用于机械手中，但水具有粘度低、润滑性差的特点，不可避免地存在泄漏和磨损故障。高速开关阀（HSV）可以产生比例输出，可以用来代替伺服阀。在本研究中，提出了一种用于水液压机械臂的水液压HSV。建立了支持代理模型、非支配排序遗传算法II （NSGA-II）和AMESim仿真的优化方法。采用全局灵敏度分析方法，分析了HSV结构参数对其动力特性的影响。利用FUZZY、LINMAP和TOPSIS等决策工具对Pareto边界进行了研究，并利用偏差指数选择了最优解。制作了HSV原型机，进行了HSV的静态和动态特性实验。仿真结果表明，优化后的开路响应时间缩短了17%，关闭响应时间缩短了9%。实验结果表明，打开响应时间和关闭响应时间分别达到5.93 ms和4.84 ms。
Water hydraulic manipulators are suitable for remote handling maintenance task in reactors. Water hydraulic servo valves are currently used in the manipulators, but water has the characteristics of low viscosity and poor lubricity, there are inevitable leakage and wear failure. High speed on-off valve (HSV) can be used to generate proportional output and could be used to replace servo valves. In this research, a water hydraulic HSV for water hydraulic manipulators is proposed. An optimization method supported surrogate model, non-dominated sorting genetic algorithm II (NSGA-II), and AMESim simulation is built. And the effect of the HSV structure parameters on dynamic characteristic is analyzed using the global sensitivity analysis. The Pareto frontier is investigated using decision-making tools with FUZZY, LINMAP, and TOPSIS methods, the best solutions are selected by using the deviation index. The HSV prototype is fabricated, and the static and dynamic characteristics experiments of the HSV are carried out. The simulation results showed that, after optimization, the opening response time is reduced by 17%, and the closing response time is reduced 9%. The experimental results show that the opening response time and closing response time reach 5.93 ms and 4.84 ms.
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影响因子：
7.3
作者：
Moawad, Nada M.;Elawady, Wael M.;Sarhan, Amany M.
通讯作者：
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DOI：
10.1590/s1678-58782003000400003
发表时间：
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影响因子：
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DOI：
10.1016/b978-0-444-63428-3.50053-9
发表时间：
2016
期刊：
Computer-aided chemical engineering
影响因子：
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通讯作者：
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影响因子：
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作者：
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T. Shi;Shuming Chen;Dengfeng Wang;J. Chen