ADP-Based Orbit Tracking Control for Deep Space Probe Flying Around Unknown Asteroid
This article investigates the orbit tracking control problem for the deep space probe flying around an unknown asteroid under completely unknown dynamics. First, an orbit tracking control model for the relative motion of the probe to the asteroid is established. Then, a model-based controller is designed for the optimal tracking control problem and the asymptotic stability of the closed-loop system is proved. Next, an adaptive dynamic programming (ADP) algorithm based on policy iteration is adopted to obtain a model-free suboptimal controller that approximates the previous model-based controller, followed by the convergence analysis. Specifically, by collecting some data online, a system of high-order linear equations is constructed and then solved to obtain parameters utilized in controller construction. Finally, numerical simulations are provided to validate the effectiveness and the performance of the proposed control method.
Authors
- Yanwei Ding (ORCID: https://orcid.org/0000-0002-5545-999X)
- Hui‐Jie Sun (ORCID: https://orcid.org/0000-0003-2794-0871)
- Wenjian Tao (ORCID: https://orcid.org/0000-0001-5955-9085)
- Jinxiu Zhang (ORCID: https://orcid.org/0000-0003-1448-1581)
- Zebin Chen (ORCID: https://orcid.org/0000-0002-1406-6196)
Institutions
- Sun Yat-sen University (CN)
Publication Details
- Journal
- IEEE Transactions on Neural Networks and Learning Systems
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1109/tnnls.2025.3578863
- Primary Topic
- Space Satellite Systems and Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China