Avoidance of multiple moving obstacles during active debris removal using a redundant space manipulator

During the operation of space manipulators for debris removal, the obstacles moving in the workspace must be avoided. We propose a unified modelling framework for multiple moving obstacles and a collision-free trajectory planning method for a redundant space manipulator. The complete properties of a...

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Bibliographic Details
Published in:International journal of control, automation, and systems 2017, Automation, and Systems, 15(2), , pp.815-826
Main Authors: Mu, Zonggao, Xu, Wenfu, Liang, Bin
Format: Article
Language:English
Subjects:
Automation
Control
Control algorithms
Control systems
Debris
Engineering
Kinematics
Manipulators
Mathematical models
Mechatronics
Methods
Motion control
Moving obstacles
Obstacles
Planning
Redundant
Regular Papers
Robot arms
Robotics
Robots
Simulation
Space stations
Spacecraft
Studies
Trajectory planning
Waste disposal
제어계측공학
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Summary:During the operation of space manipulators for debris removal, the obstacles moving in the workspace must be avoided. We propose a unified modelling framework for multiple moving obstacles and a collision-free trajectory planning method for a redundant space manipulator. The complete properties of an obstacle, including its shape, dimension, pose (position and orientation), and velocity (linear and angular), are defined in the model. The obstacle surface is represented by a super quadratic function whose parameters are adjusted to describe different shapes and dimensions. Pseudo-distance is defined to evaluate the proximity extent between the manipulator and an obstacle. Considering multiple different obstacles, we present an approach to normalize the pseudo-distances. The self-motion of the redundant manipulator was used to optimize the normalized pseudo-distance by adaptive redundancy resolution. By ensuring that the pseudo-distance was always larger than the safety threshold value, collisions with the obstacles were avoided. The proposed method solved the problem for which the Euclidean distance was difficult, or even impossible, to calculate for 3-D cases. When handling multiple different obstacles, the proposed method was much easier and had higher computational efficiency than previous methods. The proposed method was verified by the simulation of typical missions.
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-015-0455-7