首页    期刊浏览 2024年07月08日 星期一
登录注册

文章基本信息

  • 标题:Multiobjective preimpact trajectory planning of space manipulator for self-assembling a heavy payload
  • 本地全文:下载
  • 作者:Yong Liu ; Zhe Du ; Zhe Wu
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2021
  • 卷号:18
  • 期号:1
  • 页码:1-13
  • DOI:10.1177/1729881421990285
  • 出版社:SAGE Publications
  • 摘要:To assemble a heavy payload to the spacecraft (free-floating base), the present study proposes a scheme of multiobjective trajectory planning for preimpact motion of redundant space manipulator (mounted on the base). Force impulse for self-assembly is derived as the function of joint angles/velocities, base pose, and impact direction. The trajectory planning problem is formulated as multiobjective optimization to minimize force impulse, base attitude disturbance, and energy consumption in the load-carrying process. A two-stage trajectory planning algorithm is proposed. To be specific, at the first stage, multiple desired configurations at the contact point are generated by position-level inverse kinematics with Newton–Raphson iterative method. At the second stage, joint trajectories satisfying joint angle limits and desired motion of the payload are parameterized by coefficients of sinusoidal polynomial functions. Multiobjective particle swarm optimization algorithm is adopted to solve the problem of multiobjective trajectory planning, and screening process is conducted to reserve nondominated solutions in limits of joint torques. The algorithm is implemented to a seven degrees of freedom space manipulator, and the effectiveness of the proposed method is verified by simulation results.
  • 关键词:Space manipulator ; self-assembly task ; heavy payload ; trajectory planning ; multiobjective particle swarm optimization
国家哲学社会科学文献中心版权所有