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22 May 2024 Research on intelligent control technology for enhancing precision airdrop system autonomy
Ronghua Xu, Gang Yu
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Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131761F (2024) https://doi.org/10.1117/12.3029360
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China
Abstract
The Precision Airdrop System (PADS) is widely used in the accurate recovery of spacecrafts and the precision delivery of supplies. The accuracy of control is the core of the PADS achieving the precision airdrop. To enhance control accuracy, an intelligent control technology for enhancing PADS autonomy based on simulation environment is developed. The dynamic model employed to calculate the PADS state is a 6-degree-of-freedom (6-DOF) model, and the reinforcement learning control training method is based on the A-C architecture. Through analysis of simulation results in both windless and windy environments, it is evident that the reinforcement learning control strategy based on the AC architecture outperforms the traditional PID strategy. The analysis highlights the challenges posed by wind in achieving precise control and presents an effective approach for enhancing PADS autonomy through intelligent control.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Ronghua Xu and Gang Yu "Research on intelligent control technology for enhancing precision airdrop system autonomy", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131761F (22 May 2024); https://doi.org/10.1117/12.3029360
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KEYWORDS
Machine learning
Control systems
Computer simulations
Deep learning
Neural networks
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