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Study on non-holonomic cartesian path planning of a free-floating space robotic system

  • Wenfu Xu*
  • , Cheng Li
  • , Xueqian Wang
  • , Yu Liu
  • , Bin Liang
  • , Yangsheng Xu
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Harbin Institute of Technology
  • Chinese University of Hong Kong

Research output: Contribution to journalArticlepeer-review

Abstract

The non-holonomic characteristic of a free-floating space robotic system is used to plan the path of the manipulator joints, by whose motion the base attitude and the inertial pose (the position and orientation with respect to the inertial frame) of the end-effector attain the desired values. First, the kinematic equations of a free-floating space robot are simplified and the system state variables are transformed to another form composed of base attitude and joint angles. Then, the joint trajectories are parameterized using sinusoidal functions, whose arguments are seven-order polynomials. Third, the planning problem is transformed to an optimization problem; the cost function, defined according to the accuracy requirements of system variables, is the function of the parameters to be determined. Finally, the Particle Swarm Optimization (PSO) algorithm is used to search the solutions of the parameters that determine the joint trajectories. The presented method meets three typical applications: (i) point-to-point maneuver of the end-effector without changing the base attitude, (ii) attitude maneuver of the base without changing the end-effector's pose and (iii) point-to-point maneuver of the end-effector with adjusting the base attitude synchronously. The simulation results of a spacecraft with a 6-d.o.f. manipulator verify the performance and the validity of the proposed method.

Original languageEnglish
Pages (from-to)113-143
Number of pages31
JournalAdvanced Robotics
Volume23
Issue number1-2
DOIs
StatePublished - 1 Jan 2009

Keywords

  • Non-holonomic planning
  • On-orbital servicing
  • Particle swarm optimization
  • Path planning
  • Space robot

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