Anti-collision Trajectory Planning for Satellite Formation Reconstruction Based on Deep Reinforcement Learning
Author:
Affiliation:
1. School of Electrical Engineering and Automation,Tianjin,P. R. China,300072
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901660.pdf?arnumber=9901660
Reference13 articles.
1. Solving Multi-objective Aeroassisted Spacecraft Trajectory Optimization Problems Using Extended NSGA-II
2. Interplanetary Low-Thrust Design Using Proximal Policy Optimization[C];miller;AAS/AIAA Astrodynamics Specialist Conference,2019
3. Parameter estimation for optimal asteroid transfer trajectories using supervised machine learning
4. Formation Flying: Accommodating Nonlinearity and Eccentricity Perturbations
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1. TD3-Based Model Predictive Control for Satellite Formation-Keeping;Journal of Aerospace Engineering;2024-11
2. Machine Learning-Powered Satellite Trajectory Prediction: A Novel Approach for Enhanced Accuracy;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17
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