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.
作者
赵津
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)
出处
《中国工程机械学报》
北大核心
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)。
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
leveling system of working platform
multi-objective genetic algorithm
leveling error
virtual prototype
