skip to main content
10.1145/3132446.3134896acmotherconferencesArticle/Chapter ViewAbstractPublication PagesairConference Proceedingsconference-collections
research-article

Impact Modeling and Estimation for Multi-Arm Space Robot while Capturing Tumbling Orbiting Objects

Published:28 June 2017Publication History

ABSTRACT

This paper presents impact modeling of a multi-arm robotic system mounted on a service satellite while capture of tumbling orbiting objects. A robotic system with multiple arms would be capable of capturing multiple objects simultaneously. Further when satellite is in broken state or does not have provision for grapple and tumbling, the interception is very difficult. In such cases, interception using multi-arm robotic system can be appealing as this will increase the probability of grasp in comparison to single-arm robot. In this paper, three phases of the capturing operation, namely, approach, impact and post impact have been modeled. In the approach phase, the end-effectors' velocities are designed same as that of the grasping point on the target in order to avoid high impact forces. But in practice, there will be a nonzero relative velocity between the end effector and the grapple point, leading to an impact. In the impact phase, a framework is developed to estimate the changes in the generalized velocities caused by the impact. In post impact phase, these velocities are used as an initial condition for the post impact dynamics simulations of the combined robotic system and target object. Efficacy of the framework is shown using a dual-arm robot mounted on a service satellite performing capturing operation for two tumbling objects.

References

  1. BV Chapnik, Glenn R Heppler, and J Dwight Aplevich. 1991. Modeling impact on a one-link flexible robotic arm. IEEE Transactions on Robotics and Automation 7, 4 (1991), 479--488.Google ScholarGoogle ScholarCross RefCross Ref
  2. Xavier Cyril, Gilbert J Jaar, and Arun K Misra. 1993. The effect of payload impact on the dynamics of a space robot. In Intelligent Robots and Systems' 93, IROS'93. Proceedings of the 1993 IEEE/RSJ International Conference on, Vol. 3. IEEE, 2070--2075.Google ScholarGoogle Scholar
  3. Xavier Cyril, Arun K Misra, Michel Ingham, and Gilbert J Jaar. 2000. Postcapture dynamics of a spacecraft-manipulator-payload system. Journal of Guidance, Control, and Dynamics 23, 1 (2000), 95--100.Google ScholarGoogle ScholarCross RefCross Ref
  4. A Gattupalli, SV Shah, K Madhava Krishna, and AK Misra. 2013. Control strategies for reactionless capture of an orbiting object using a satellite mounted robot. In Proceedings of Conference on Advances In Robotics. ACM, 1--6. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Matthew W Gertz, Jin-Oh Kim, and Pradeep K Khosla. 1991. Exploiting redundancy to reduce impact force. In Intelligent Robots and Systems' 91.'Intelligence for Mechanical Systems, Proceedings IROS'91. IEEE/RSJ International Workshop on. IEEE, 179--184.Google ScholarGoogle Scholar
  6. ZC Lin, Rajni V Patel, and Constantinos A Balafoutis. 1995. Impact reduction for redundant manipulators using augmented impedance control. Journal of Field Robotics 12, 5 (1995), 301--313.Google ScholarGoogle Scholar
  7. J-C Liou. 2011. An active debris removal parametric study for LEO environment remediation. Advances in Space Research 47, 11 (2011), 1865--1876.Google ScholarGoogle ScholarCross RefCross Ref
  8. Dragomir N Nenchev and Kazuya Yoshida. 1999. Impact analysis and post-impact motion control issues of a free-floating space robot subject to a force impulse. IEEE Transactions on Robotics and Automation 15, 3 (1999), 548--557.Google ScholarGoogle ScholarCross RefCross Ref
  9. Subir Kumar Saha. 1996. A unified approach to space robot kinematics. IEEE transactions on robotics and automation 12, 3 (1996), 401--405.Google ScholarGoogle ScholarCross RefCross Ref
  10. Florian Sellmaier, Toralf Boge, Jörn Spurmann, Sylvain Gully, Thomas Rupp, and Felix Huber. 2010. On-orbit servicing missions: Challenges and solutions for spacecraft operations. In SpaceOps 2010 Conference Delivering on the Dream Hosted by NASA Marshall Space Flight Center and Organized by AIAA. 2159.Google ScholarGoogle ScholarCross RefCross Ref
  11. Suril V Shah, Paramanand V Nandihal, and Subir K Saha. 2012. Recursive dynamics simulator (ReDySim): A multibody dynamics solver. Theoretical and Applied Mechanics Letters 2, 6 (2012).Google ScholarGoogle ScholarCross RefCross Ref
  12. Mark W Spong, Seth Hutchinson, and Mathukumalli Vidyasagar. 2006. Robot modeling and control. Vol. 3. Wiley New York.Google ScholarGoogle Scholar
  13. Yoji Umetani and Kazuya Yoshida. 1989. Resolved motion rate control of space manipulators with generalized Jacobian matrix. IEEE Transactions on robotics and automation 5, 3 (1989), 303--314.Google ScholarGoogle ScholarCross RefCross Ref
  14. Ian D Walker. 1994. Impact configurations and measures for kinematically redundant and multiple armed robot systems. IEEE transactions on robotics and automation 10, 5 (1994), 670--683.Google ScholarGoogle ScholarCross RefCross Ref
  15. Kazuya Yoshida and Naoki Sashida. 1993. Modeling of impact dynamics and impulse minimization for space robots. In Intelligent Robots and Systems' 93, IROS'93. Proceedings of the 1993 IEEE/RSJ International Conference on, Vol. 3. IEEE, 2064--2069.Google ScholarGoogle Scholar
  16. Kamal Youcef-Toumi and David A Gutz. 1989. Impact and force control. In Robotics and Automation, 1989. Proceedings., 1989 IEEE International Conference on. IEEE, 410--416.Google ScholarGoogle ScholarCross RefCross Ref
  17. Yuan-Fang Zheng and Hooshang Hemami. 1985. Mathematical modeling of a robot collision with its environment. Journal of Field Robotics 2, 3 (1985), 289--307.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    AIR '17: Proceedings of the 2017 3rd International Conference on Advances in Robotics
    June 2017
    325 pages
    ISBN:9781450352949
    DOI:10.1145/3132446

    Copyright © 2017 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 28 June 2017

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate69of140submissions,49%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader