湖南大学学报（自然科学版）2026，Vol.53Issue(2)：47-55,9.DOI:10.16339/j.cnki.hdxbzkb.2026155
基于改进粒子群算法的蜘蛛手抓烟速差优化设计
Velocity difference optimization design of cigarette spider handover based on improved particle swarm optimization algorithm
摘要
Abstract
To address the issues of fiber drop and hollow head in the handover of double-length cigarettes in ultra-high-speed cigarette making and receiving units,an optimization method based on the improved particle swarm optimization(IPSO)algorithm is proposed,which enhances system stability by reducing the velocity difference between the spider hand and the cigarette during the grabbing process.The mechanism of velocity difference formation between the cigarette and the spider hand's suction claw during the grasping process is investigated,and an optimization model targeting the velocity difference is established.By introducing adaptive adjustment mechanisms,the convergence speed and search efficiency of the particle swarm optimization algorithm are enhanced.The improved particle swarm optimization algorithm is used to solve the velocity difference optimization model,and the results are compared and analyzed.The findings indicate that the improved particle swarm optimization algorithm demonstrates higher convergence efficiency and stability in the optimization of the grasping velocity difference.The velocity difference between the spider hand and the cigarette at the moment of grasping is significantly reduced after optimization,with reductions of 62.1%、99.9%,and 31.1%for cigarettes of 75 mm,84 mm,and 90 mm lengths,respectively.This optimization design method can be flexibly adjusted according to the production requirements of cigarettes of different lengths,providing a theoretical foundation for optimizing and upgrading the spider-hand cigarette handover system.关键词
烟支传送/蜘蛛手/抓烟稳定性/粒子群算法/自适应调整/速差优化Key words
cigarette handover/spider hand/cigarette grabbing stability/particle swarm optimization algo-rithm/adaptive adjustment/velocity difference optimization分类
机械制造引用本文复制引用
吴长德,赵隆涛,符国强,李俊锋,周长江..基于改进粒子群算法的蜘蛛手抓烟速差优化设计[J].湖南大学学报（自然科学版）,2026,53(2):47-55,9.基金项目
国家自然科学基金资助项目(52075153),National Natural Science Foundation of China(52075153) （52075153）
