Multiple spacecraft coordination and motion planning for full-coverage inspection of large complex space structures. (January 2023)
- Record Type:
- Journal Article
- Title:
- Multiple spacecraft coordination and motion planning for full-coverage inspection of large complex space structures. (January 2023)
- Main Title:
- Multiple spacecraft coordination and motion planning for full-coverage inspection of large complex space structures
- Authors:
- Faghihi, Sepideh
Tavana, Siavash
de Ruiter, Anton H.J. - Abstract:
- Abstract: This paper presents a new multiple spacecraft full-coverage inspection path-planning scheme to closely observe any large complex space structure hovering in space. For this purpose, a decentralized multi-spacecraft methodology is proposed, extending our previous work on the inspection of structures using a single inspector spacecraft for a cooperative collection of small spacecraft. Multi-robot systems are more reliable, flexible, and scalable and can accomplish complex missions, which might be impossible or significantly time-consuming for a single robot. To this end, our previously developed asymptotically optimal sampling-based path planner, called the Rapidly Exploring Random Tree, is combined with a multi-spacecraft coordination methodology. The resulting kinodynamic inspection path planner generates 3-dimensional inspection trajectories for each spacecraft to fully observe any points on the boundary of a complex space structure in close proximity while satisfying the kinematic and dynamic constraints. Spacecraft coordination, communication, and task allocations are developed to reduce the total inspection time, crucial during servicing and proximity operations. Simulation results are presented to demonstrate the ability and effectiveness of our planner. Highlights: Multi-spacecraft coordination and motion planning for inspection of large space structures. Decentralized coordination for cooperative and homogeneous collection of small spacecraft. Full sensorAbstract: This paper presents a new multiple spacecraft full-coverage inspection path-planning scheme to closely observe any large complex space structure hovering in space. For this purpose, a decentralized multi-spacecraft methodology is proposed, extending our previous work on the inspection of structures using a single inspector spacecraft for a cooperative collection of small spacecraft. Multi-robot systems are more reliable, flexible, and scalable and can accomplish complex missions, which might be impossible or significantly time-consuming for a single robot. To this end, our previously developed asymptotically optimal sampling-based path planner, called the Rapidly Exploring Random Tree, is combined with a multi-spacecraft coordination methodology. The resulting kinodynamic inspection path planner generates 3-dimensional inspection trajectories for each spacecraft to fully observe any points on the boundary of a complex space structure in close proximity while satisfying the kinematic and dynamic constraints. Spacecraft coordination, communication, and task allocations are developed to reduce the total inspection time, crucial during servicing and proximity operations. Simulation results are presented to demonstrate the ability and effectiveness of our planner. Highlights: Multi-spacecraft coordination and motion planning for inspection of large space structures. Decentralized coordination for cooperative and homogeneous collection of small spacecraft. Full sensor coverage inspection trajectories for complete inspection of the space structure. Contributing to the technologies required for space exploration and proximity operations. … (more)
- Is Part Of:
- Acta astronautica. Volume 202(2023)
- Journal:
- Acta astronautica
- Issue:
- Volume 202(2023)
- Issue Display:
- Volume 202, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 202
- Issue:
- 2023
- Issue Sort Value:
- 2023-0202-2023-0000
- Page Start:
- 119
- Page End:
- 129
- Publication Date:
- 2023-01
- Subjects:
- On-orbit inspection and servicing -- Multi-robot coordination and motion planning -- Coverage path planning -- Optimization -- Kinodynamic planning
Astronautics -- Periodicals
Outer space -- Exploration -- Periodicals
Astronautics
Periodicals
629.405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00945765 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.actaastro.2022.10.018 ↗
- Languages:
- English
- ISSNs:
- 0094-5765
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0596.750000
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British Library HMNTS - ELD Digital store - Ingest File:
- 24680.xml