Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches

Jiawei Li; Ming Liu; Tao Nie

doi:10.1109/CFASTA57821.2023.10243286

Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches

Jiawei Li^*, Ming Liu, Tao Nie

^*Corresponding author for this work

School of Aerospace Engineering

Harbin Institute of Technology

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

Abstract

In this paper, attitude tracking control of spacecraft is studied. Firstly, the fully actuated system models of rigid body satellite is established, and then the linear sliding mode controller is designed by direct parameterization method. One of the key problems in direct parameterization is the tuning of matrix parameters. Aiming at the difficulty of parameter setting of spacecraft attitude controller based on fully actuated system approach, a parameter setting method based on particle swarm optimization algorithm was proposed. Particle swarm optimization is used to adjust matrix parameters more quickly and accurately. At the same time, inertia weight factor is introduced to avoid the early local optimal phenomenon of particle swarm optimization algorithm. Simulation results reveal the effect of the proposed control approach.

Original language	English
Title of host publication	Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	77-82
Number of pages	6
ISBN (Electronic)	9798350332162
DOIs	https://doi.org/10.1109/CFASTA57821.2023.10243286
Publication status	Published - 2023
Event	2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023 - Qingdao, China Duration: 14 Jul 2023 → 16 Jul 2023

Publication series

Name	Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023

Conference

Conference	2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
Country/Territory	China
City	Qingdao
Period	14/07/23 → 16/07/23

Keywords

Direct parameterization method
Fully actuated system approach
Particle swarm optimization algorithm
Satellite attitude control

Access to Document

10.1109/CFASTA57821.2023.10243286

Cite this

Li, J., Liu, M., & Nie, T. (2023). Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches. In Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023 (pp. 77-82). (Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CFASTA57821.2023.10243286

Li, Jiawei ; Liu, Ming ; Nie, Tao. / Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches. Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 77-82 (Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023).

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title = "Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches",

abstract = "In this paper, attitude tracking control of spacecraft is studied. Firstly, the fully actuated system models of rigid body satellite is established, and then the linear sliding mode controller is designed by direct parameterization method. One of the key problems in direct parameterization is the tuning of matrix parameters. Aiming at the difficulty of parameter setting of spacecraft attitude controller based on fully actuated system approach, a parameter setting method based on particle swarm optimization algorithm was proposed. Particle swarm optimization is used to adjust matrix parameters more quickly and accurately. At the same time, inertia weight factor is introduced to avoid the early local optimal phenomenon of particle swarm optimization algorithm. Simulation results reveal the effect of the proposed control approach.",

keywords = "Direct parameterization method, Fully actuated system approach, Particle swarm optimization algorithm, Satellite attitude control",

author = "Jiawei Li and Ming Liu and Tao Nie",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023 ; Conference date: 14-07-2023 Through 16-07-2023",

year = "2023",

doi = "10.1109/CFASTA57821.2023.10243286",

language = "English",

series = "Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023",

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

pages = "77--82",

booktitle = "Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023",

address = "United States",

}

Li, J, Liu, M & Nie, T 2023, Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches. in Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023. Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023, Institute of Electrical and Electronics Engineers Inc., pp. 77-82, 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023, Qingdao, China, 14/07/23. https://doi.org/10.1109/CFASTA57821.2023.10243286

Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches. / Li, Jiawei; Liu, Ming; Nie, Tao.
Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 77-82 (Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023).

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

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T1 - Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches

AU - Li, Jiawei

AU - Liu, Ming

AU - Nie, Tao

PY - 2023

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N2 - In this paper, attitude tracking control of spacecraft is studied. Firstly, the fully actuated system models of rigid body satellite is established, and then the linear sliding mode controller is designed by direct parameterization method. One of the key problems in direct parameterization is the tuning of matrix parameters. Aiming at the difficulty of parameter setting of spacecraft attitude controller based on fully actuated system approach, a parameter setting method based on particle swarm optimization algorithm was proposed. Particle swarm optimization is used to adjust matrix parameters more quickly and accurately. At the same time, inertia weight factor is introduced to avoid the early local optimal phenomenon of particle swarm optimization algorithm. Simulation results reveal the effect of the proposed control approach.

AB - In this paper, attitude tracking control of spacecraft is studied. Firstly, the fully actuated system models of rigid body satellite is established, and then the linear sliding mode controller is designed by direct parameterization method. One of the key problems in direct parameterization is the tuning of matrix parameters. Aiming at the difficulty of parameter setting of spacecraft attitude controller based on fully actuated system approach, a parameter setting method based on particle swarm optimization algorithm was proposed. Particle swarm optimization is used to adjust matrix parameters more quickly and accurately. At the same time, inertia weight factor is introduced to avoid the early local optimal phenomenon of particle swarm optimization algorithm. Simulation results reveal the effect of the proposed control approach.

KW - Direct parameterization method

KW - Fully actuated system approach

KW - Particle swarm optimization algorithm

KW - Satellite attitude control

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BT - Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023

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Li J, Liu M, Nie T. Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches. In Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 77-82. (Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023). doi: 10.1109/CFASTA57821.2023.10243286

Spacecraft Attitude Control with Fully Actuated System and Particle Swarm Optimization Approaches

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