1 research outputs found
Micron-level Optimal Obstacle-avoidance Trajectory Planning for a Free-floating Space Robot with Predefined-time Convergence
With the development of human space exploration, the space environment is
gradually filled with abandoned satellite debris and unknown micrometeorites,
which will seriously affect capture motion of space robot. Hence, a novel fast
collision-avoidance trajectory planning strategy for a dual-arm free-floating
space robot (FFSR) with predefined-time pose feedback will be mainly studied to
achieve micron-level tracking accuracy of end-effector in this paper. However,
similar to control, the exponential feedback results in larger initial joint
angular velocity relative to proportional feedback. Therefore, a GA-based
optimization algorithm is used to reduce the control input, which is just the
joint angular velocity. Firstly, a pose-error-based kinematic model of the FFSR
will be derived from a control perspective. Then, a cumulative dangerous field
(CDF) collision-avoidance algorithm is applied in predefined-time trajectory
planning to achieve micron-level collision-avoidance trajectory tracking
precision. In the end, a GA-based optimization algorithm is used to optimize
the predefined-time parameter to obtain a motion trajectory of low joint
angular velocity of robotic arms. The simulation results verify our conjecture
and conclusion.Comment: 18 pages, 10 figures, The reference motion model is based on a
conference paper to be published (Y Liu, W Yan et. al. "Predefined-Time
Trajectory Planning for a Dual-Arm Free-Floating Space Robot" in 46th Annual
Conference of the IEEE Industrial Electronics Society, 2020