基于改进黏菌算法的反铲液压挖掘机工作装置设计模型研究

doi:10.16731/j.cnki.1671-3133.2025.12.018

现代制造工程 ›› 2025, Vol. 543 ›› Issue (12): 145-157.doi: 10.16731/j.cnki.1671-3133.2025.12.018

• 设备设计/诊断维修/再制造 • 上一篇

基于改进黏菌算法的反铲液压挖掘机工作装置设计模型研究

梁德宝^1,2, 王晓琳^2,3, 农博文², 李剑辉², 黄珠芹⁴, 宋小驹⁴

1 广西大学机械工程学院,南宁 530004;
2 广西科学院高端装备制造研究所,南宁 530012;
3 重庆大学光电工程学院,重庆 400044;
4 广西美斯达工程机械设备有限公司,南宁 530201

收稿日期:2024-12-09 出版日期:2025-12-18 发布日期:2026-01-06
通讯作者: 王晓琳,硕士,教授级高级工程师,主要研究方向为光电传感技术、结构智能诊断、智能机器人。E-mail:wangxiaolin@gxas.cn
作者简介:梁德宝,硕士研究生,主要研究方向为装备故障诊断与健康管理。E-mail:18374841143@163.com;wangxiaolin@gxas.cn
基金资助:
*南宁揭榜制科技项目(20221241);广西科技计划项目(桂科AA24263053);中央引导地方科技发展资金项目(桂科ZY22096006)

Research on the design model of working device of backhoe hydraulic excavator based on improved slime mould algorithm

LIANG Debao^1,2, WANG Xiaolin^2,3, NONG Bowen², LI Jianhui², HUANG Zhuqin⁴, SONG Xiaoju⁴

1 School of Mechanical Engineering,Guangxi University,Nanning 530004,China;
2 Institute of Advanced Equipment & Manufacturing,Guangxi Academy of Sciences,Nanning 530012,China;
3 College of Optoelectronic Engineering,Chongqing University,Chongqing 400044,China;
4 Guangxi Mesda Construction Machinery Equipment Co.,Ltd.,Nanning 530201,China

Received:2024-12-09 Online:2025-12-18 Published:2026-01-06

摘要/Abstract

摘要： 针对现有挖掘机工作装置设计过程中需要已知尺寸参数而导致设计周期长的问题,提出了基于改进黏菌算法的反铲液压挖掘机工作装置设计模型。利用最优领导者策略、无反馈过程以及麻雀引领搜索策略对标准黏菌算法进行改进,并以改进黏菌算法为搜索算法,以设计目标损失最小化为目标函数,构建采用分阶段设计方式的工作装置设计模型。通过与标准黏菌算法、麻雀搜索算法以及其他改进算法进行对比,表明了改进黏菌算法具有更优越的性能。通过试验选取设计模型各设计阶段的改进黏菌算法的最优参数。运用设计模型对实际数据进行设计,结果表明了改进黏菌算法与设计模型具有较优的性能,能运用于实际的反铲液压挖掘机工作装置的设计工作。

关键词: 黏菌算法, 智能优化算法, 算法改进, 液压挖掘机, 工作装置设计

Abstract: The issue at hand is the prolonged design cycles necessitated by the requirement for established dimensional parameters in the current design of excavator working devices. Therefore,a design model for the working device of the backhoe hydraulic excavator,which is based on the improved slime mould algorithm,has been proposed. The standard slime mould algorithm was improved by the optimal leader strategy,the no-feedback process and the sparrow-led search strategy,and utilizing the improved slime mould algorithm as the search algorithm,the design model for the working device was constructed using a phased design approach,with the objective function aimed at minimizing the design target loss. Compared with the standard slime mould algorithm,sparrow search algorithm and other improved algorithms,the improved slime mould algorithm demonstrated superior performance. The optimal parameter of the improved slime mould algorithm for each design stage of the design model was determined through tests. Applying the design models to actual data,the results showed that the improved slime mould algorithm and design model exhibit superior performance and can be applied to the actual working device design.

Key words: Slime Mould Algorithm(SMA), intelligent optimization algorithms, algorithm improvements, hydraulic excavator, working device design

中图分类号:

TU621

梁德宝, 王晓琳, 农博文, 李剑辉, 黄珠芹, 宋小驹. 基于改进黏菌算法的反铲液压挖掘机工作装置设计模型研究[J]. 现代制造工程, 2025, 543(12): 145-157.

LIANG Debao, WANG Xiaolin, NONG Bowen, LI Jianhui, HUANG Zhuqin, SONG Xiaoju. Research on the design model of working device of backhoe hydraulic excavator based on improved slime mould algorithm[J]. Modern Manufacturing Engineering, 2025, 543(12): 145-157.

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基于改进黏菌算法的反铲液压挖掘机工作装置设计模型研究

Research on the design model of working device of backhoe hydraulic excavator based on improved slime mould algorithm

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