摘要
以自主设计的新型多孔式液压缓冲器为研究对象,将系统的最大缓冲效率和最小峰值压力作为优化目标,建立了多孔式液压缓冲器节流孔优化模型,分别运用模拟退火算法、粒子群优化算法以及遗传算法对阻尼孔的数量、孔直径和孔间距进行组合优化。研究结果表明:相较于经验设计的等孔径等间距方案,经3种算法优化后的缓冲器效率均显著提高,峰值压力均显著下降;上述3种算法中粒子群优化算法在阻尼孔的组合优化中收敛速度更快,优化效果也更为理想。
Taking the self-designed new porous hydraulic buffer as the research object,the optimization model of porous hydraulic buffer is given with the aim of maximum buffering efficiency and minimum peak pressure.The combined optimization of the number of holes,the diameter of holes and the distance of holes are given by means of annealing algorithm、Particle swarm optimization algorithm and Genetic algorithm respectively.Compared with the empirical design of equal aperture and equal spacing scheme,the buffering efficiency is significantly improved by the optimization of the three algorithms.The peak pressure is significantly reduced.Within the three algorithms,the particle swarm optimization algorithm has faster convergence speed and better optimization effect in the combination optimization of damping holes.
作者
王成龙
王雪亭
魏学谦
曾庆良
WANG Cheng-long;WANG Xue-ting;WEI Xue-qian;ZENG Qing-liang(School of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, Shandong 266590;Shandong Normal University, Jinan, Shandong 250014)
出处
《液压与气动》
北大核心
2021年第2期71-76,共6页
Chinese Hydraulics & Pneumatics
基金
国家自然科学基金(51674155,51974170)
山东省重点研发计划(2019GGX104102)。
关键词
多孔式液压缓冲器
优化算法
组合优化
porous hydraulic buffer
optimization algorithm
combination optimization
