液压与气动2026，Vol.50Issue(9)：19-31,13.DOI:10.11832/j.issn.1000-4858.2026.09.003
基于年龄自适应非支配排序遗传算法-Ⅱ的2D阀先导级参数分析与多目标优化
Analysis and Multi-objective Optimization of 2D Valve Pilot Stage Parameters Based on Age Adaptive Non-dominated Sorting Genetic Algorithm-Ⅱ
摘要
Abstract
The structural parameters of the 2D valve control stage have a cross influence on the working characteristics,and unreasonable parameters may cause problems such as vibration and whistling.Firstly,a 2D valve AMESim simulation model is established to study the influence of key parameters on dynamic characteristics.Then,the transfer function is derived and the stability model is obtained based on the Routh stability criterion.Aimed at the problem of mutual constraint between response speed and stability,an adaptive non-dominated sorting genetic algorithm-II is proposed,which introduces dynamic adjustment of cross mutation probability based on individual age and improves the distribution uniformity of Pareto front through crowding penalty mechanism.We calculate the Pareto front with the goal of maximizing flow gain and amplitude margin,and finally compare the results before and after optimization.Under a system pressure of 7 MPa,the optimized 2D valve achieves a 4 ms improvement in step response speed,a 15.5 Hz increase in amplitude bandwidth,and an 11 Hz rise in phase bandwidth,providing a certain reference for the design of 2D valve structures.关键词
2D阀/自适应非支配排序遗传算法-Ⅱ/年龄策略/拥挤度惩罚/多目标优化Key words
2D valve/adaptive non-dominated sorting genetic algorithm-Ⅱ/age strategy/crowding penalty/multi-objective optimization分类
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戴权超,赵建涛,董凯翔,安毅强,李胜,阮健..基于年龄自适应非支配排序遗传算法-Ⅱ的2D阀先导级参数分析与多目标优化[J].液压与气动,2026,50(9):19-31,13.基金项目
国家重点研发计划(YFB2005201) （YFB2005201）
