Spacecraft attitude takeover control by multiple microsatellites using differential game

The paper proposes a differential game-based control scheme to address attitude takeover control problem via microsatellites attached to the surface of target spacecraft. First, the attitude dynamics of combined spacecraft is reformulated as general form so as to apply the reinforcement learning fra...

Full description

Saved in:
Bibliographic Details
Main Authors: Wu, Baolin, Chen, Keyu, Wang, Danwei, Sun, Yuxiang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/171800
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-171800
record_format dspace
spelling sg-ntu-dr.10356-1718002023-11-08T03:52:16Z Spacecraft attitude takeover control by multiple microsatellites using differential game Wu, Baolin Chen, Keyu Wang, Danwei Sun, Yuxiang School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Attitude Control Takeover Control The paper proposes a differential game-based control scheme to address attitude takeover control problem via microsatellites attached to the surface of target spacecraft. First, the attitude dynamics of combined spacecraft is reformulated as general form so as to apply the reinforcement learning framework. Then quadratic and Arctanh-type performance indices are designed in two cases of free input and input saturation, respectively. Accordingly, optimal control policy of each microsatellite is obtained and is dependent on value functions, which are solutions of a set of HJB equations. Single layer Neural Networks are employed to approximate value functions by policy iteration and the weights vectors are updated with the help of concurrent learning algorithm so that the persistent excitation condition of control errors is loosen. Moreover, necessity of interaction among microsatellites is eliminated by using tracking differentiator technique to estimate angular accelerations which are not available directly through onboard device. Stability of closed-loop system is guaranteed by Lyapunov method. Three cases of simulation are carried out to demonstrate the robustness and optimality of the proposed control scheme and to validate the effectiveness of controller in the presence of actuators saturation. This work was supported by the National Natural Science Foundation of China under Grant 61873312. 2023-11-08T03:52:15Z 2023-11-08T03:52:15Z 2023 Journal Article Wu, B., Chen, K., Wang, D. & Sun, Y. (2023). Spacecraft attitude takeover control by multiple microsatellites using differential game. IEEE Transactions On Control of Network Systems. https://dx.doi.org/10.1109/TCNS.2023.3290082 2325-5870 https://hdl.handle.net/10356/171800 10.1109/TCNS.2023.3290082 2-s2.0-85163432383 en IEEE Transactions on Control of Network Systems © 2023 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Attitude Control
Takeover Control
spellingShingle Engineering::Electrical and electronic engineering
Attitude Control
Takeover Control
Wu, Baolin
Chen, Keyu
Wang, Danwei
Sun, Yuxiang
Spacecraft attitude takeover control by multiple microsatellites using differential game
description The paper proposes a differential game-based control scheme to address attitude takeover control problem via microsatellites attached to the surface of target spacecraft. First, the attitude dynamics of combined spacecraft is reformulated as general form so as to apply the reinforcement learning framework. Then quadratic and Arctanh-type performance indices are designed in two cases of free input and input saturation, respectively. Accordingly, optimal control policy of each microsatellite is obtained and is dependent on value functions, which are solutions of a set of HJB equations. Single layer Neural Networks are employed to approximate value functions by policy iteration and the weights vectors are updated with the help of concurrent learning algorithm so that the persistent excitation condition of control errors is loosen. Moreover, necessity of interaction among microsatellites is eliminated by using tracking differentiator technique to estimate angular accelerations which are not available directly through onboard device. Stability of closed-loop system is guaranteed by Lyapunov method. Three cases of simulation are carried out to demonstrate the robustness and optimality of the proposed control scheme and to validate the effectiveness of controller in the presence of actuators saturation.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wu, Baolin
Chen, Keyu
Wang, Danwei
Sun, Yuxiang
format Article
author Wu, Baolin
Chen, Keyu
Wang, Danwei
Sun, Yuxiang
author_sort Wu, Baolin
title Spacecraft attitude takeover control by multiple microsatellites using differential game
title_short Spacecraft attitude takeover control by multiple microsatellites using differential game
title_full Spacecraft attitude takeover control by multiple microsatellites using differential game
title_fullStr Spacecraft attitude takeover control by multiple microsatellites using differential game
title_full_unstemmed Spacecraft attitude takeover control by multiple microsatellites using differential game
title_sort spacecraft attitude takeover control by multiple microsatellites using differential game
publishDate 2023
url https://hdl.handle.net/10356/171800
_version_ 1783955495254491136