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Multi-objective Optimal Trajectory and Placement of a Robot for Cotton Yarns Handling
  • ISSN号:1000-3304
  • 期刊名称:《高分子学报》
  • 时间:0
  • 分类:TP242[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]College of Mechanical Engineering, Donghua University, Shanghai 201620, China, [2]Department of Mechanical Engineering, The University of Auckland, Auckland 1142, New Zealand
  • 相关基金:National Key Technology Support Program,China(No.2012BAF13B03); Program for Changjiang Scholars and Innovative Research Team in University,China(No.IRT1220)
中文摘要:

This study deals with a robot manipulator for yarn bobbin handling in the cotton yarns lattice distortion modification system.The aim is to achieve an operation of yarn bobbin handling with minimal execution time,energy consumption and jerk in motion together.The placement of the robot,in relation to the yarn bobbin stations,is also optimized in conjunction of trajectory optimization.Three possible techniques for building the handling traj’ectory were considered:the quaternion spherical linear interpolation in Cartesian space,the quintic polynomial spline and quintic B-spline in joint space.The genetic algorithm(GA) was used to optimize the trajectories of the robot,with a penalty function to handle nonlinear constraints associated in the robot motion.Two simulations of the optimal trajectory in joint space and the placement of robot were carried out and the results obtained were presented and discussed.It is concluded that the quintic polynomial spline constructs a better trajectory in joint space and the proper placement of robot makes better performance.

英文摘要:

This study deals with a robot manipulator for yarn bobbin handling in the cotton yarns lattice distortion modification system.The aim is to achieve an operation of yarn bobbin handling with minimal execution time,energy consumption and jerk in motion together.The placement of the robot,in relation to the yarn bobbin stations,is also optimized in conjunction of trajectory optimization.Three possible techniques for building the handling traj'ectory were considered:the quaternion spherical linear interpolation in Cartesian space,the quintic polynomial spline and quintic B-spline in joint space.The genetic algorithm(GA) was used to optimize the trajectories of the robot,with a penalty function to handle nonlinear constraints associated in the robot motion.Two simulations of the optimal trajectory in joint space and the placement of robot were carried out and the results obtained were presented and discussed.It is concluded that the quintic polynomial spline constructs a better trajectory in joint space and the proper placement of robot makes better performance.

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期刊信息
  • 《高分子学报》
  • 中国科技核心期刊
  • 主管单位:中国科学院
  • 主办单位:中国化学会 中国科学院化学研究所
  • 主编:张希
  • 地址:北京市海淀区中关村北一街2号
  • 邮编:100190
  • 邮箱:gfzxb@iccas.ac.cn
  • 电话:010-62588927
  • 国际标准刊号:ISSN:1000-3304
  • 国内统一刊号:ISSN:11-1857/O6
  • 邮发代号:2-498
  • 获奖情况:
  • 国家优秀期刊二等奖,中科院优秀期刊二等奖,中国科协优秀期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国科学引文索引(扩展库),英国高分子图书馆,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:19174