Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity

Ding Zhou; Zhenhua Yu; Yanquan Zhang; Shunli Li

doi:10.1109/ICMAE.2018.8467675

Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity

Ding Zhou
, Zhenhua Yu
, Yanquan Zhang
, Shunli Li

School of Astronautics, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A suitably automatic rapid planning approach based on sampling-based algorithms is investigated for impulsive spacecraft closely proximity. Integrated with deterministic sampling and rewiring strategies, the enhanced sweeping Rapidly-Exploring Dense Trees (sweep-RDT∗) are lazily extracted from the graph-based roadmaps for generating an asymptotically optimal trajectory, which is then smoothed using linearly homotopic superposition. The proposed method is finally validated and analyzed through various numerical simulations with different sample counts as well as exploring cost thresholds. Results indicate the ability for rapidly safe trajectory planning in agile spacecraft proximity scenarios.

Original language	English
Title of host publication	Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	116-120
Number of pages	5
ISBN (Electronic)	9781538672297
DOIs	https://doi.org/10.1109/ICMAE.2018.8467675
State	Published - 18 Sep 2018
Externally published	Yes
Event	9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018 - Budapest, Hungary Duration: 10 Jul 2018 → 13 Jul 2018

Publication series

Name	Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018

Conference

Conference	9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018
Country/Territory	Hungary
City	Budapest
Period	10/07/18 → 13/07/18

Keywords

homotopic superposition
obstacle constraints
sampling-based planning
spacecraft proximity
sweep-RDT

Access to Document

10.1109/ICMAE.2018.8467675

Cite this

Zhou, D., Yu, Z., Zhang, Y., & Li, S. (2018). Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity. In Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018 (pp. 116-120). Article 8467675 (Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMAE.2018.8467675

Zhou, Ding ; Yu, Zhenhua ; Zhang, Yanquan et al. / Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity. Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 116-120 (Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018).

@inproceedings{e2071d3bb87d4d74b5e7ec49b48b4f54,

title = "Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity",

abstract = "A suitably automatic rapid planning approach based on sampling-based algorithms is investigated for impulsive spacecraft closely proximity. Integrated with deterministic sampling and rewiring strategies, the enhanced sweeping Rapidly-Exploring Dense Trees (sweep-RDT∗) are lazily extracted from the graph-based roadmaps for generating an asymptotically optimal trajectory, which is then smoothed using linearly homotopic superposition. The proposed method is finally validated and analyzed through various numerical simulations with different sample counts as well as exploring cost thresholds. Results indicate the ability for rapidly safe trajectory planning in agile spacecraft proximity scenarios.",

keywords = "homotopic superposition, obstacle constraints, sampling-based planning, spacecraft proximity, sweep-RDT",

author = "Ding Zhou and Zhenhua Yu and Yanquan Zhang and Shunli Li",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018 ; Conference date: 10-07-2018 Through 13-07-2018",

year = "2018",

month = sep,

day = "18",

doi = "10.1109/ICMAE.2018.8467675",

language = "英语",

series = "Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "116--120",

booktitle = "Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018",

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Zhou, D, Yu, Z, Zhang, Y & Li, S 2018, Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity. in Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018., 8467675, Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018, Institute of Electrical and Electronics Engineers Inc., pp. 116-120, 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018, Budapest, Hungary, 10/07/18. https://doi.org/10.1109/ICMAE.2018.8467675

Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity. / Zhou, Ding; Yu, Zhenhua; Zhang, Yanquan et al.
Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 116-120 8467675 (Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity

AU - Zhou, Ding

AU - Yu, Zhenhua

AU - Zhang, Yanquan

AU - Li, Shunli

PY - 2018/9/18

Y1 - 2018/9/18

N2 - A suitably automatic rapid planning approach based on sampling-based algorithms is investigated for impulsive spacecraft closely proximity. Integrated with deterministic sampling and rewiring strategies, the enhanced sweeping Rapidly-Exploring Dense Trees (sweep-RDT∗) are lazily extracted from the graph-based roadmaps for generating an asymptotically optimal trajectory, which is then smoothed using linearly homotopic superposition. The proposed method is finally validated and analyzed through various numerical simulations with different sample counts as well as exploring cost thresholds. Results indicate the ability for rapidly safe trajectory planning in agile spacecraft proximity scenarios.

AB - A suitably automatic rapid planning approach based on sampling-based algorithms is investigated for impulsive spacecraft closely proximity. Integrated with deterministic sampling and rewiring strategies, the enhanced sweeping Rapidly-Exploring Dense Trees (sweep-RDT∗) are lazily extracted from the graph-based roadmaps for generating an asymptotically optimal trajectory, which is then smoothed using linearly homotopic superposition. The proposed method is finally validated and analyzed through various numerical simulations with different sample counts as well as exploring cost thresholds. Results indicate the ability for rapidly safe trajectory planning in agile spacecraft proximity scenarios.

KW - homotopic superposition

KW - obstacle constraints

KW - sampling-based planning

KW - spacecraft proximity

KW - sweep-RDT

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DO - 10.1109/ICMAE.2018.8467675

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BT - Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Zhou D, Yu Z, Zhang Y, Li S. Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity. In Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 116-120. 8467675. (Proceedings of 2018 9th International Conference on Mechanical and Aerospace Engineering, ICMAE 2018). doi: 10.1109/ICMAE.2018.8467675

Rapidly Sampling-Based Trajectory Planning for Spacecraft Proximity

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Keywords

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