改进粒子群算法的径向柱塞液压马达内曲线优化*

doi:10.16731/j.cnki.1671-3133.2025.02.009

现代制造工程 ›› 2025, Vol. 533 ›› Issue (2): 69-75.doi: 10.16731/j.cnki.1671-3133.2025.02.009

• 制造技术/ 工艺装备 • 上一篇下一篇

改进粒子群算法的径向柱塞液压马达内曲线优化^*

李佳璇^1,2, 康绍鹏^1,2, 杨静^1,2, 刘凯磊^1,2, 强红宾^1,2, 柯贤胜^2,3, 崔毅^2,3

1 江苏理工学院机械工程学院,常州 213001;
2 江苏省先进流体动力与装备工程研究中心,常州 213001;
3 江苏恒立液压科技有限公司,常州 213000

收稿日期:2024-07-30 出版日期:2025-02-18 发布日期:2025-02-27
通讯作者: 康绍鹏,博士,教授,主要研究方向为流体传动与电液控制、复杂机电液一体化与智能协同控制、大型运载装备创新设计及特种装备与系统数字化设计开发。E-mail:594987345@qq.com
作者简介:李佳璇,硕士研究生,主要研究方向为径向柱塞液压马达内曲线优化设计。
基金资助:
^*国家自然科学基金项目(51805228);江苏省高等学校基础科学(自然科学)研究项目(22KJB460021,23KJA460006);常州市领军型创新人才引进培育项目(CQ20210093,CQ20220089);江苏省研究生实践创新计划项目(SJCX23_1616)

Internal curve optimization of radial plunger hydraulic motor with improved particle swarm optimization

LI Jiaxuan^1,2, KANG Shaopeng^1,2, YANG Jing^1,2, LIU Kailei^1,2, QIANG Hongbin^1,2, KE Xiansheng^2,3, CUI Yi^2,3

1 School of Mechanical Engineering,Jiangsu University of Technology,Changzhou 213001,China;
2 Jiangsu Provincial Engineering Research Center for Advanced Fluid Power and Equipment,Changzhou 213001,China;
3 Jiangsu Hengli Hydraulic Co.,Ltd.,Changzhou 213000,China

Received:2024-07-30 Online:2025-02-18 Published:2025-02-27

摘要/Abstract

摘要： 径向柱塞液压马达在中大型机械装备中应用十分广泛,然而因其内部存在冲击与疲劳磨损等问题,对径向柱塞液压马达的寿命与性能造成了一定的影响。针对上述问题,提出了一种改进粒子群算法优化径向柱塞液压马达内曲线的方法,该方法将等加速度曲线重构为含补偿区的等加速度曲线,以减小冲击和接触应力突变值。以粒子群算法(Particle Swarm Optimization,PSO)为基础,加入自适应非线性动态权重与多子种群竞争优化策略,构建一种改进粒子群算法,对各区段角度进行重新分配,重新生成含补偿区的径向柱塞液压马达内曲线。对比优化前后的结果表明,最大接触应力下降了2.54 %,最大接触应力处的突变值下降至0;接触应力不再阶跃式上升,有上升过程,冲击较小。该研究能够为径向柱塞液压马达的设计提供参考,有效减缓疲劳与磨损,降低冲击影响,从而延长液压马达的使用寿命。

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

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 proposed. 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 optimization strategy. The angle of each zone was reassigned and the internal curve of radial plunger hydraulic motor with compensation 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.

Key words: radial plunger hydraulic motor, internal curve, adaptive nonlinear dynamic weight, multi-subpopulation competitive optimization strategy, improved particle swarm optimization

中图分类号:

TH137

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, 533(2): 69-75.

LI Jiaxuan, KANG Shaopeng, YANG Jing, LIU Kailei, QIANG Hongbin, KE Xiansheng, CUI Yi. Internal curve optimization of radial plunger hydraulic motor with improved particle swarm optimization[J]. Modern Manufacturing Engineering, 2025, 533(2): 69-75.

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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

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