Distributed Control Method for Vehicle Cooperative Rendezvous

Cooperative rendezvous/docking is an enabling technology for future autonomous missions. However, it is still a challenge to design a fully distributed, stability-guaranteed control method for cooperative rendezvous. To address this issue, this paper proposes a distributed control method for an unmanned vehicle cooperative rendezvous mission. First, the cooperative rendezvous process is formulated as an optimal control problem. To decentralize the control framework, a rendezvous parameter is introduced, and the rendezvous parameter optimization algorithm is designed to guarantee the terminal rendezvous of autonomous vehicles while improving the system performance. On this basis, a distributed control framework, based on rendezvous parameter optimization, generates the control commands to achieve cooperative rendezvous. Results demonstrate the effectiveness of the proposed distributed control approach through three simulations.

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Institutions

Publication Details

Journal
Journal of Guidance Control and Dynamics
Published
2025-05-01
DOI
https://doi.org/10.2514/1.g008445
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28

Funders

Controls
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article

Distributed Control Method for Vehicle Cooperative Rendezvous

Lorenz T. Biegler, Zhenyu Wei, Zhijiang Shao
1 citations
Journal of Guidance Control and Dynamics
Robotic Path Planning Algorithms
1.28
article

Distributed Control Method for Vehicle Cooperative Rendezvous

Lorenz T. Biegler, Zhenyu Wei, Zhijiang Shao
article en
1 citations

Abstract

Cooperative rendezvous/docking is an enabling technology for future autonomous missions. However, it is still a challenge to design a fully distributed, stability-guaranteed control method for cooperative rendezvous. To address this issue, this paper proposes a distributed control method for an unmanned vehicle cooperative rendezvous mission. First, the cooperative rendezvous process is formulated as an optimal control problem. To decentralize the control framework, a rendezvous parameter is introduced, and the rendezvous parameter optimization algorithm is designed to guarantee the terminal rendezvous of autonomous vehicles while improving the system performance. On this basis, a distributed control framework, based on rendezvous parameter optimization, generates the control commands to achieve cooperative rendezvous. Results demonstrate the effectiveness of the proposed distributed control approach through three simulations.

Journal of Guidance Control and DynamicsVol. 48(7)
Carnegie Mellon University (US), Zhejiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 21%
Robotic Path Planning Algorithms
1.28
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