Coordinated Control after Grasping the Space Targets Using Controllable Damping Mechanism
Source abstract
Abstract
Compliant capture of the space non-cooperative targets is a key technology in on-orbit services. A great challenge is that the multi-dimensional contact force generated by the tumbling space target can destabilize the spacecraft-manipulator system (SMS), which may eventually cause failure of the capture task. A full-dimensional controllable damping mechanism (FDCDM) with gyroscopic structure is introduced into the joint of the SMS to buffer the multi-dimensional contact forces during capture. The six-dimensional damping force outputs by the FDCDM can be equivalent to the actuator outputs in the end joint, which could form a coordinated control system with the torque of base flywheel and active joints. The whole-body dynamic model of SMS with FDCDM is established using the Kane method. Furthermore, a backstepping non-singular sliding mode control is proposed to optimize the momentum distribution and impact absorption. The characteristics of collision process for the above SMS-FDCDM system is analyzed in the ADAMS workspace, and the experiments performed in MATLAB demonstrate that the full-dimensional damping mechanism and coordinated control can greatly reduce the vibration caused by the impact force, and the attitude of SMS is quickly stabilized after capture, which proves the feasibility of its application in non-cooperative target capturing tasks.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Space Satellite Systems and Control · Astro and Planetary Science · Planetary Science and Exploration
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China
Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Application, Beijing Institute of Spacecraft System Engineering, Beijing 100876, China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Beijing Municipality · Major Project of the New Generation of Artificial Intelligence, China
References (39)
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