基于遗传算法的钢拱架安装机作业平台调平系统优化设计  

Optimization of the leveling system of working platform for the steel arch installation vehicle based on genetic algorithms

作　　者：赵津[1,2] 黄信念 卢静 张家放 ZHAO Jin;HUANG Xinnian;LU Jing;ZHANG Jiafang(School of Mechanical Engineering,Guizhou University,Guiyang 550025,Guizhou,China;Key Laboratory of Advanced Manufacturing Technology Ministry of Education,Guizhou University,Guiyang 550025,Guizhou,China;Science and Technology Department,China Railway Five Bureau Group Guizhou Engineering Co.,Ltd.,Guiyang 550003,Guizhou,China)

机构地区：[1]贵州大学机械工程学院,贵州贵阳550025 [2]贵州大学现代制造技术教育部重点实验室,贵州贵阳550025 [3]中铁五局集团贵州工程有限公司科技部,贵州贵阳550003

出　　处：《中国工程机械学报》2022年第3期189-193,204,共6页Chinese Journal of Construction Machinery

基　　金：国家自然科学基金资助项目(51965008);贵州省重大科技专项资助([2019]3012)。

摘　　要：针对某钢拱架安装机作业平台调平系统,以减小调平误差和油缸受力为目标,采用线性加权和法建立数学优化模型,运用多目标遗传算法(MOGA)对主、从动调平油缸铰点位置进行了优化设计。由优化参数得到调平误差曲线和油缸受力曲线,通过ADAMS进行虚拟样机测试验证。结果对比表明:通过优化后的油缸铰点位置,提高了钢拱架安装机作业平台的调平精准性和力学性能。In order to reduce the leveling error and the force of hydraulic cylinder of the leveling system for the working platform of the steel arch installation vehicle,this paper established an optimization mathematical model.Then optimizing the hinge point position of active leveling cylinder and slave leveling cylinder by multi-objective genetic algorithm,based on the optimization results,the leveling error curves and force curves are obtained.Then virtual prototype experiment is carried out by ADAMS.The simulation results show that has greatly improves of the leveling accuracy and mechanical properties of the working platform after optimization.

关 键 词：作业平台调平系统 多目标遗传算法 调平误差 虚拟样机 

分 类 号：TH122[机械工程—机械设计及理论] U455.3[建筑科学—桥梁与隧道工程]