Research on Guidance Method of Hypersonic Vehicle Based on Reinforcement Learning and Dynamic Surface Control

Yin Diao, Baogang Lu, Yingzi Guan

2022

Abstract

To meet the requirements of high-precision tracking of long-range hypersonic vehicle position and minimization of terminal velocity deviation, this paper completes the online generation of guidance commands based on dynamic surface control theory and reinforcement learning method. First, this paper transforms the control problem of three-dimensional under-actuated system into a problem of two-dimensional path-tracking and establishes the basic framework of the guidance system by using the control method of dynamic surface path-tracking, and the online optimal adjustment of guidance parameters is then accomplished through the online network of flight state deviation and reinforcement learning to achieve the minimization of the integrated deviation of the process position and terminal velocity. The simulation results show that the proposed guidance method can solve the high-precision position tracking problem of long-range hypersonic vehicles effectively, and it can reduce the terminal velocity deviation. The algorithm computation is small, which has good prospects for engineering applications.

Paper Citation

in Harvard Style

Diao Y., Lu B. and Guan Y. (2022). Research on Guidance Method of Hypersonic Vehicle Based on Reinforcement Learning and Dynamic Surface Control. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 651-657. DOI: 10.5220/0012010400003612

in Bibtex Style

@conference{isaic22,
author={Yin Diao and Baogang Lu and Yingzi Guan},
title={Research on Guidance Method of Hypersonic Vehicle Based on Reinforcement Learning and Dynamic Surface Control},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={651-657},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012010400003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Research on Guidance Method of Hypersonic Vehicle Based on Reinforcement Learning and Dynamic Surface Control
SN - 978-989-758-622-4
AU - Diao Y.
AU - Lu B.
AU - Guan Y.
PY - 2022
SP - 651
EP - 657
DO - 10.5220/0012010400003612
PB - SciTePress