现代制造工程Issue(2)：69-75,7.DOI:10.16731/j.cnki.1671-3133.2025.02.009
改进粒子群算法的径向柱塞液压马达内曲线优化
Internal curve optimization of radial plunger hydraulic motor with improved particle swarm optimization
摘要
Abstract
Radial plunger hydraulic motor is widely used in medium and large mechanical equipment.However,due to its internal impact and fatigue wear problems,the life and performance of radial plunger hydraulic motor are affected to some extent.To solve these problems,an improved particle swarm optimization for optimization radial plunger hydraulic motor internal curves was pro-posed.The constant acceleration curve was reconstructed into the constant acceleration curve with compensation region to reduce the impact and the sudden change of the constant contact stress.Based on the Particle Swarm Optimization(PSO),an improved particle swarm optimization was constructed by adding adaptive nonlinear dynamic weight and multi-subpopulation competitive op-timization strategy.The angle of each zone was reassigned and the internal curve of radial plunger hydraulic motor with compensa-tion zone was reconstructed.The results before and after optimization show that the maximum contact stress decreases by 2.54％and the abrupt value at the maximum contact stress decreases to 0.The contact stress no longer rises step by step,there is a rising process,and the impact is small.This research can provide reference for the design of radial plunger hydraulic motor,effectively reduce fatigue and wear,reduce impact,and extend the service life of hydraulic motor.关键词
径向柱塞液压马达/内曲线/自适应非线性动态权重/多子种群竞争优化策略/改进粒子群算法Key words
radial plunger hydraulic motor/internal curve/adaptive nonlinear dynamic weight/multi-subpopulation competitive optimization strategy/improved particle swarm optimization分类
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李佳璇,康绍鹏,杨静,刘凯磊,强红宾,柯贤胜,崔毅..改进粒子群算法的径向柱塞液压马达内曲线优化[J].现代制造工程,2025,(2):69-75,7.基金项目
国家自然科学基金项目(51805228) （51805228）
江苏省高等学校基础科学(自然科学)研究项目(22KJB460021,23KJA460006) （自然科学）
常州市领军型创新人才引进培育项目(CQ20210093,CQ20220089) （CQ20210093,CQ20220089）
江苏省研究生实践创新计划项目(SJCX23_1616) （SJCX23_1616）
