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基于Kriging模型与PSO算法的桁架机器人结构优化设计
Truss Based on Kriging Model and PSO Algorithm Optimal Design of Robot Structure
【摘要】 桁架机器人搬运能力强、操作方便、定位精度高,在制造业中具有极其重要的作用,但桁架机器人普遍存在运行稳定性差和材料冗余等问题,需要进行仿真结构优化,针对桁架机器人的结构优化设计研究中存在的有限元仿真调用次数多、计算时间长、优化效率低等问题,在分析了桁架机器人夹爪部件的尺寸、负载与应力、形变之间的关系后,提出了一种基于Kriging模型与粒子群算法的结构优化设计方法,可以有效减少有限元仿真的调用次数,节约时间,提高优化设计效率。
【Abstract】 The truss robot has strong handling ability, convenient operation and high positioning accuracy, and plays an extremely important role in the manufacturing industry.Aiming at the problems of poor operation stability and material redundancy caused by the weight of the truss robot, structural optimization design research is carried out.At present, the finite element simulation of truss robot structure optimization design research has many times of finite element simulation calls, large time loss and low optimization efficiency.In view of this problem, after analyzing the relationship between the size, load, stress and deformation of the gripper parts of the truss robot, a structural optimization design method based on the Kriging model and particle swarm algorithm is proposed, which can effectively reduce the call of finite element simulation.times, save time, and improve the efficiency of optimized design.
【Key words】 optimized design; particle swarm optimization; Kriging proxy model; truss robot;
- 【文献出处】 组合机床与自动化加工技术 ,Modular Machine Tool & Automatic Manufacturing Technique , 编辑部邮箱 ,2023年04期
- 【分类号】TP18;TP242
- 【下载频次】97