Researching | Data-driven Online Reinforcement Learning Attitude Control Method for Cross-domain Interceptors

AEROSPACE SHANGHAI, Volume. 41, Issue 6, 39(2024)

Data-driven Online Reinforcement Learning Attitude Control Method for Cross-domain Interceptors

Chenyu ZHAO*... Biao XU, Xun SONG, Qilun ZHAO and Shuang LI |Show fewer author(s)

Author Affiliations

College of Astronautics，Nanjing University of Aeronautics and Astronautics，Nanjing211106，，China

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References (14)

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Figures & Tables(7)

Fig. 1. Weight updating of the critic network

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Fig. 2. Tracking of the overload command

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Fig. 3. Tracking of the angle of attack

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Fig. 4. Variation of the pitch angle rate

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Fig. 5. Variation of the elevator deflection angle

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Fig. 6. Variation of the direct lateral force

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Table 1. Tab.1Performance index function values at different moments
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Table 1. Tab.1Performance index function values at different moments
时间段 LQR RL model based RL data driven
4~9 s 214 201 148
9~12 s 213 197 151

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Chenyu ZHAO, Biao XU, Xun SONG, Qilun ZHAO, Shuang LI. Data-driven Online Reinforcement Learning Attitude Control Method for Cross-domain Interceptors[J]. AEROSPACE SHANGHAI, 2024, 41(6): 39

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Paper Information

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Received: Feb. 8, 2024

Accepted: --

Published Online: Mar. 7, 2025

The Author Email:

DOI:10.19328/j.cnki.2096-8655.2024.06.005

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology