The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Model Predictive Control of Swarms of Spacecraft Using Sequential Convex Programming
Abstract
This paper presents a decentralized, model predictive control algorithm for the optimal guidance and reconfiguration of swarms of spacecraft composed of hundreds to thousands of agents with limited capabilities. In previous work, -invariant orbits have been found to provide collision-free motion for hundreds of orbits in a low Earth orbit. This paper develops real-time optimal control algorithms for the swarm reconfiguration that involve transferring from one -invariant orbit to another while avoiding collisions and minimizing fuel. The proposed model predictive control-sequential convex programming algorithm uses sequential convex programming to solve a series of approximate path planning problems until the solution converges. By updating the optimal trajectories during the reconfiguration, the model predictive control algorithm results in decentralized computations and communication between neighboring spacecraft only. Additionally, model predictive control reduces the horizon of the convex optimizations, which reduces the run time of the algorithm. Multiple time steps, time-varying collision constraints, and communication requirements are developed to guarantee stability, feasibility, and robustness of the model predictive control-sequential convex programming algorithm.
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Cites
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Constrained model predictive control: Stability and optimality
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Coordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Graph Implementations for Nonsmooth Convex Programs
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SDPT3 — A Matlab software package for semidefinite programming, Version 1.3
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A trust region method based on interior point techniques for nonlinear programming
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Fast Model Predictive Control Using Online Optimization
Wang, Y., & Boyd, S. (2010) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2009.2017934 · Cited by 1,372
Advances in astronautical sciences
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Solving semidefinite-quadratic-linear programs using SDPT3
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Cited by
Survey of convex optimization for aerospace applications
Liu, X., Lu, P., & Pan, B. (2017) · Astrodynamics · doi:10.1007/s42064-017-0003-8 · Cited by 341
Trajectory Planning for Quadrotor Swarms
Honig, W., Preiss, J. A., Kumar, T. K. S., Sukhatme, G. S., & Ayanian, N. (2018) · IEEE Transactions on Robotics · doi:10.1109/tro.2018.2853613 · Cited by 315
Malyuta, D., Reynolds, T. P., Szmuk, M., Lew, T., Bonalli, R., Pavone, M., & Açıkmeşe, B. (2022) · IEEE Control Systems · doi:10.1109/mcs.2022.3187542 · Cited by 259
Sarno, S., Guo, J., D'Errico, M., & Gill, E. (2020) · Advances in Space Research · doi:10.1016/j.asr.2020.01.033 · Cited by 43
On-Board Cooperative Spacecraft Relative Navigation Fusing GNSS with Vision
Capuano, V., Harvard, A., & Chung, S.-J. (2022) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2021.100761 · Cited by 39
Self-citation
Metadata
- Authors
- Morgan, D., Chung, S.-J., & Hadaegh, F. Y.
- Venue
- Journal of Guidance, Control, and Dynamics
- Published
- 2014-11
- Volume
- 37
- Issue
- 6
- Pages
- 1725-1740
- ISSN
- 0731-5090 (ISSN-L)
- 1533-3884
- OpenAlex
- W2125240595
- Cited by
- 384
- References
- 31
- FWCI
- 27.91
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
