基于粒子群算法的平衡吊重心轨迹优化  

Research on Optimization of Center of Gravity Trajectory of Balanced Crane Based on Particle Swarm Optimization Algorithm

作　　者：汪弘达 刘春山[1] 邓文斌 徐杨 朱敏健 尚涛 WANG Hongda;LIU Chunshan;DENG Wenbin;XU Yang;ZHU Minjan;SHANG Tao(School of Mechanical Engineering,Jiamusi University,Jiamusi Heilongjiang 154007,China;School of Information Science and Engineering,Jiaxing University,Jiaxing Zhejiang 314001,China)

机构地区：[1]佳木斯大学机械工程学院,黑龙江佳木斯154007 [2]嘉兴学院信息科学与工程学院,浙江嘉兴314001

出　　处：《机械设计与研究》2024年第3期157-162,共6页Machine Design And Research

摘　　要：以重锤平衡吊为例研究了重心运动轨迹对其功耗的影响,通过静力学及虚位移原理分析了平衡吊的工作原理,应用有限分割法确定了杆系的重心位置,运用复数矢量法对其进行了运动学分析,并提出了一种基于粒子群算法的重心轨迹优化方法,对比优化前后功耗,证明了该方法确有成效。This paper studies the influence of center of gravity motion trajectory on the power consumption of the balanced crane,analyzes the working principle of the balanced crane through statics and virtual displacement principles,determines the center of gravity position of the rod system using the finite segmentation method,conducts kinematic analysis using the complex vector method,and proposes a particle swarm optimization method for the center of gravity trajectory.By comparing the power consumption before and after optimization,it is proven that this method is effective.

关 键 词：平衡吊 节能 虚位移原理 粒子群算法 

分 类 号：TH122[机械工程—机械设计及理论]