ADP-Based Prescribed Performance Attitude Tracking Control for Rigid Spacecraft

Haoyang Yang; Yizhong Fang; Ming Guo; Bo Zhang; Yonghe Zhang; Qinglei Hu

doi:10.1109/CCDC52312.2021.9602522

ADP-Based Prescribed Performance Attitude Tracking Control for Rigid Spacecraft

Haoyang Yang
, Yizhong Fang
, Ming Guo
, Bo Zhang
, Yonghe Zhang
, Qinglei Hu^*

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

This paper proposes an adaptive dynamic programming (ADP)-based prescribed performance controller for rigid spacecraft attitude tracking control subject to cost optimizing. As a stepping stone, the modified Rodrigues Parameters (MRPs) are employed to characterize the relative attitude dynamics. A state transformation method is used to transform the constrained dynamics to an unconstrained dynamics by the log-type function. Then, an ADP algorithm is developed to deal with the Hamilton-Jacobi-Bellman equation of optimal control problem. The convergence and stability are analyzed by the Lyapunov-based method. Finally, the effectiveness of the proposed scheme is demonstrated by numerical simulation.

Original language	English
Title of host publication	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6121-6126
Number of pages	6
ISBN (Electronic)	9781665440899
DOIs	https://doi.org/10.1109/CCDC52312.2021.9602522
State	Published - 2021
Event	33rd Chinese Control and Decision Conference, CCDC 2021 - Kunming, China Duration: 22 May 2021 → 24 May 2021

Publication series

Name	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

Conference

Conference	33rd Chinese Control and Decision Conference, CCDC 2021
Country/Territory	China
City	Kunming
Period	22/05/21 → 24/05/21

Keywords

Adaptive Dynamic Programming (ADP)
Prescribed Performance Control
Reinforcement Learning
Spacecraft Attitude Control

Access to Document

10.1109/CCDC52312.2021.9602522

Cite this

Yang, H., Fang, Y., Guo, M., Zhang, B., Zhang, Y., & Hu, Q. (2021). ADP-Based Prescribed Performance Attitude Tracking Control for Rigid Spacecraft. In Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021 (pp. 6121-6126). (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC52312.2021.9602522

@inproceedings{64e6a01e91104cc0a2d51b9d23aa99bc,

title = "ADP-Based Prescribed Performance Attitude Tracking Control for Rigid Spacecraft",

abstract = "This paper proposes an adaptive dynamic programming (ADP)-based prescribed performance controller for rigid spacecraft attitude tracking control subject to cost optimizing. As a stepping stone, the modified Rodrigues Parameters (MRPs) are employed to characterize the relative attitude dynamics. A state transformation method is used to transform the constrained dynamics to an unconstrained dynamics by the log-type function. Then, an ADP algorithm is developed to deal with the Hamilton-Jacobi-Bellman equation of optimal control problem. The convergence and stability are analyzed by the Lyapunov-based method. Finally, the effectiveness of the proposed scheme is demonstrated by numerical simulation.",

keywords = "Adaptive Dynamic Programming (ADP), Prescribed Performance Control, Reinforcement Learning, Spacecraft Attitude Control",

author = "Haoyang Yang and Yizhong Fang and Ming Guo and Bo Zhang and Yonghe Zhang and Qinglei Hu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 33rd Chinese Control and Decision Conference, CCDC 2021 ; Conference date: 22-05-2021 Through 24-05-2021",

year = "2021",

doi = "10.1109/CCDC52312.2021.9602522",

language = "英语",

series = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "6121--6126",

booktitle = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

address = "美国",

}

Yang, H, Fang, Y, Guo, M, Zhang, B, Zhang, Y & Hu, Q 2021, ADP-Based Prescribed Performance Attitude Tracking Control for Rigid Spacecraft. in Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 6121-6126, 33rd Chinese Control and Decision Conference, CCDC 2021, Kunming, China, 22/05/21. https://doi.org/10.1109/CCDC52312.2021.9602522

ADP-Based Prescribed Performance Attitude Tracking Control for Rigid Spacecraft. / Yang, Haoyang; Fang, Yizhong; Guo, Ming et al.
Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 6121-6126 (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - ADP-Based Prescribed Performance Attitude Tracking Control for Rigid Spacecraft

AU - Yang, Haoyang

AU - Fang, Yizhong

AU - Guo, Ming

AU - Zhang, Bo

AU - Zhang, Yonghe

AU - Hu, Qinglei

PY - 2021

Y1 - 2021

N2 - This paper proposes an adaptive dynamic programming (ADP)-based prescribed performance controller for rigid spacecraft attitude tracking control subject to cost optimizing. As a stepping stone, the modified Rodrigues Parameters (MRPs) are employed to characterize the relative attitude dynamics. A state transformation method is used to transform the constrained dynamics to an unconstrained dynamics by the log-type function. Then, an ADP algorithm is developed to deal with the Hamilton-Jacobi-Bellman equation of optimal control problem. The convergence and stability are analyzed by the Lyapunov-based method. Finally, the effectiveness of the proposed scheme is demonstrated by numerical simulation.

AB - This paper proposes an adaptive dynamic programming (ADP)-based prescribed performance controller for rigid spacecraft attitude tracking control subject to cost optimizing. As a stepping stone, the modified Rodrigues Parameters (MRPs) are employed to characterize the relative attitude dynamics. A state transformation method is used to transform the constrained dynamics to an unconstrained dynamics by the log-type function. Then, an ADP algorithm is developed to deal with the Hamilton-Jacobi-Bellman equation of optimal control problem. The convergence and stability are analyzed by the Lyapunov-based method. Finally, the effectiveness of the proposed scheme is demonstrated by numerical simulation.

KW - Adaptive Dynamic Programming (ADP)

KW - Prescribed Performance Control

KW - Reinforcement Learning

KW - Spacecraft Attitude Control

UR - https://www.scopus.com/pages/publications/85125183083

U2 - 10.1109/CCDC52312.2021.9602522

DO - 10.1109/CCDC52312.2021.9602522

M3 - 会议稿件

AN - SCOPUS:85125183083

T3 - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

SP - 6121

EP - 6126

BT - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 33rd Chinese Control and Decision Conference, CCDC 2021

Y2 - 22 May 2021 through 24 May 2021

ER -

Yang H, Fang Y, Guo M, Zhang B, Zhang Y, Hu Q. ADP-Based Prescribed Performance Attitude Tracking Control for Rigid Spacecraft. In Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 6121-6126. (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021). doi: 10.1109/CCDC52312.2021.9602522

ADP-Based Prescribed Performance Attitude Tracking Control for Rigid Spacecraft

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