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作 者:赵富强[1] 常宝玉 李钊钰 牛志刚 ZHAO Fu-qiang;CHANG Bao-yu;LI Zhao-yu;NIU Zhi-gang(Heavy Machinery Engineering Research Center of the Ministry of Education Taiyuan University of Science and Technology,Shanxi Taiyuan 030024,China;College of Mechanical and Transportation Engineering Taiyuan University of Technology,Shanxi Taiyuan 030024,China)
机构地区:[1]太原科技大学重型机械教育部工程研究中心,山西太原030024 [2]太原理工大学机械与运载工程学院,山西太原030024
出 处:《机械设计与制造》2022年第8期6-11,共6页Machinery Design & Manufacture
基 金:山西省应用基础研究计划重点基金项目(201901D111009(ZD))。
摘 要:针对南极科考平台肢腿部件在强风极端工况行驶时存在难以同时满足高抗变形能力、低功耗水平的设计难题,分析极端工况时肢腿部件考虑风阻的复杂载荷特性,提出一种基于合作博弈的肢腿部件多目标优化设计方法,将肢腿最小变形、行驶最小功耗多目标优化问题转换为博弈问题,确定肢腿部件结构特征参数作为优化变量并构建博弈策略空间;通过建立合作博弈理论与粒子群算法相融合的博弈-粒子群方法寻求最优解,与粒子群算法相比,该方法不仅所需时间短,而且优化后的肢腿部件结构单位功耗内抗变形能力提升了1.3倍,并通过有限元方法验证优化后结构设计的安全性。Aiming at the design problems of the limb components of the Antarctic scientific research platform that it is difficult to meet the high anti-deformation ability and low power consumption when driving under extreme conditions of strong wind,the complex load characteristics of the leg components considering the wind resistance in the extreme conditions are analyzed,and it is proposed a multi-objective optimization design method for limb components based on cooperative game,which converts the multiobjective optimization problem of minimum limb deformation and minimum driving power consumption into a game problem,determines the structural characteristic parameters of the limb components as optimization variables and constructs a game strategy space;seek the optimal solution by establishing a game-particle swarm method combining cooperative game theory and particle swarm algorithm.Compared with particle swarm optimization,this method not only requires shorter time,but also optimizes the structural unit function of the limbs.The internal anti-deformation ability has been increased by 1.3 times,and the safety of the optimized structural design has been verified by the finite element method.
关 键 词:肢腿部件 多目标优化 合作博弈-粒子群方法 风阻
分 类 号:TH16[机械工程—机械制造及自动化] O302[理学—力学] TH122
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