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A rapid maneuver path planning method with complex sensor pointing constraints in the attitude space

Author

Listed:
  • Rui Xu

    (Beijing Institute of Technology)

  • Changqing Wu

    (Beijing Institute of Technology)

  • Shengying Zhu

    (Beijing Institute of Technology)

  • Baodong Fang

    (Shanghai Institute of Satellite Engineering)

  • Wei Wang

    (Shanghai Institute of Satellite Engineering)

  • Lida Xu

    (Shanghai Jiao Tong University
    Old Dominion University)

  • Wu He

    (Old Dominion University)

Abstract

Large-scale and high-resolution perception is easy to achieve for the physical world, if satellite technology was used in Internet of Things (IoT) in the future. Remote sensing satellite is superior to original method for ground target detection and environmental perception, which could be completed through onboard perception sensors. In the process of detection and perception, satellite needs to frequently perform attitude maneuver in order to meet a variety of task requirements. We have to face with multi-object, multi-sensors constrained maneuver problem. Not only the kinematic and dynamics constraints should been taken into account, but the engineering bounded constraints need to be considered. Moreover, sensor pointing constraints should be elaborated and analyzed reasonably. It is increasingly important how to achieve attitude maneuver in these complex constraints safely and rapidly. Firstly, sensor pointing constraints are translated to quadratic form in order to simplify the representation and computation in the attitude quaternion space. Secondly, we propose an improved RRT planning algorithm for spacecraft, which is able to address a variety of sensor pointing constraints. This algorithm will be used as a global planner, in which the uniformly distributed nodes in the expansion space are randomly sampled and the expanded nodes are screened out based on the comparative evaluation function. Finally, simulation results validate the advantages of the proposed algorithm.

Suggested Citation

  • Rui Xu & Changqing Wu & Shengying Zhu & Baodong Fang & Wei Wang & Lida Xu & Wu He, 2017. "A rapid maneuver path planning method with complex sensor pointing constraints in the attitude space," Information Systems Frontiers, Springer, vol. 19(4), pages 945-953, August.
    • Handle: RePEc:spr:infosf:v:19:y:2017:i:4:d:10.1007_s10796-016-9642-1
    DOI: 10.1007/s10796-016-9642-1
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    References listed on IDEAS

    as
    1. Andrew Whitmore & Anurag Agarwal & Li Xu, 2015. "The Internet of Things—A survey of topics and trends," Information Systems Frontiers, Springer, vol. 17(2), pages 261-274, April.
    2. Shifeng Fang & Lida Xu & Yunqiang Zhu & Yongqiang Liu & Zhihui Liu & Huan Pei & Jianwu Yan & Huifang Zhang, 2015. "An integrated information system for snowmelt flood early-warning based on internet of things," Information Systems Frontiers, Springer, vol. 17(2), pages 321-335, April.
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    Cited by:

    1. Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.

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