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author:

Ai, Haiping (Ai, Haiping.) [1] | Chen, Li (Chen, Li.) [2] (Scholars:陈力) | Yu, Xiaoyan (Yu, Xiaoyan.) [3] (Scholars:于潇雁)

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EI Scopus

Abstract:

In this paper, the impact effect and post-capture passivity-based force/position neural network H-infinity robust control of dual-arm free-floating space robot clamping capture non-cooperative spacecraft are studied. First, the dynamic models of the dual-arm space robot and the target spacecraft before capture are obtained by multi rigid body dynamics method. After that, based on the law of conservation of momentum and the constraints of kinematics, the impact effect caused by collision of capture process is analysed. Finally, the integrated dynamic model of the closed chain composite system is derived. On the basis, a force/position neural network H-infinity robust control scheme based on passivity theory is proposed for post-capture closed chain composite system with consider actuator saturation and external disturbance, which can achieve the coordinated control of the internal force and position of the target spacecraft. The proposed scheme has good dynamic characteristics and strong robustness. It can effectively resist the interference of strong impact effect caused by capture operation and achieve the stabilization control of composite system. The numerical simulation results verify the effectiveness of the control scheme. Copyright © 2019 by the International Astronautical Federation (IAF). All rights reserved.

Keyword:

Community:

  • [ 1 ] [Ai, Haiping]School of Mechanical Engineering and Automation, Fuzhou University, Fujian Provincial Collaborative Innovation Center of High-End Equipment Manufacturing, Fuzhou; 350116, China
  • [ 2 ] [Chen, Li]School of Mechanical Engineering and Automation, Fuzhou University, Fujian Provincial Collaborative Innovation Center of High-End Equipment Manufacturing, Fuzhou; 350116, China
  • [ 3 ] [Yu, Xiaoyan]School of Mechanical Engineering and Automation, Fuzhou University, Fujian Provincial Collaborative Innovation Center of High-End Equipment Manufacturing, Fuzhou; 350116, China

Reprint 's Address:

  • 艾海平

    [ai, haiping]school of mechanical engineering and automation, fuzhou university, fujian provincial collaborative innovation center of high-end equipment manufacturing, fuzhou; 350116, china

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ISSN: 0074-1795

Year: 2019

Volume: 2019-October

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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