Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control

Hengguang Zou; Jiliang Song; Junzheng Wang; Lei Zhang; Yuan Huang

doi:10.1109/CCDC49329.2020.9164526

Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control

Hengguang Zou
, Jiliang Song
, Junzheng Wang^*
, Lei Zhang
, Yuan Huang

^*Corresponding author for this work

School of Automation

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

5 Citations (Scopus)

Abstract

In this paper, we consider the model predictive control (MPC) design for the geostationary (GEO) satellite in achieving the station keeping. We first introduce the GEO satellite orbit system with perturbation, for which the control framework through MPC strategy is constructed. Then, a relative orbital elements model is presented to characterize the specific properties of the GEO satellite. It is shown that by resorting to the relative orbital elements, the station keeping problem can be disposed by solving an optimization problem. Note that compared with the traditional station keeping methods, MPC strategy is flexible in control decision making, and it could handle a certain of constraints. In this paper, control constraints are considered to satisfy the maximum thrust force of the satellite. Numerical simulations are carried out to validate the effectiveness of the proposed control strategy in solving the GEO satellite station keeping problem.

Original language	English
Title of host publication	Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4437-4442
Number of pages	6
ISBN (Electronic)	9781728158549
DOIs	https://doi.org/10.1109/CCDC49329.2020.9164526
Publication status	Published - Aug 2020
Event	32nd Chinese Control and Decision Conference, CCDC 2020 - Hefei, China Duration: 22 Aug 2020 → 24 Aug 2020

Publication series

Name	Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

Conference

Conference	32nd Chinese Control and Decision Conference, CCDC 2020
Country/Territory	China
City	Hefei
Period	22/08/20 → 24/08/20

Keywords

Geostationary satellite
Model Predictive Control
Relative orbital elements
Station keeping

Access to Document

10.1109/CCDC49329.2020.9164526

Cite this

Zou, H., Song, J., Wang, J., Zhang, L., & Huang, Y. (2020). Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control. In Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020 (pp. 4437-4442). Article 9164526 (Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC49329.2020.9164526

Zou, Hengguang ; Song, Jiliang ; Wang, Junzheng et al. / Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control. Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 4437-4442 (Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020).

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title = "Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control",

abstract = "In this paper, we consider the model predictive control (MPC) design for the geostationary (GEO) satellite in achieving the station keeping. We first introduce the GEO satellite orbit system with perturbation, for which the control framework through MPC strategy is constructed. Then, a relative orbital elements model is presented to characterize the specific properties of the GEO satellite. It is shown that by resorting to the relative orbital elements, the station keeping problem can be disposed by solving an optimization problem. Note that compared with the traditional station keeping methods, MPC strategy is flexible in control decision making, and it could handle a certain of constraints. In this paper, control constraints are considered to satisfy the maximum thrust force of the satellite. Numerical simulations are carried out to validate the effectiveness of the proposed control strategy in solving the GEO satellite station keeping problem.",

keywords = "Geostationary satellite, Model Predictive Control, Relative orbital elements, Station keeping",

author = "Hengguang Zou and Jiliang Song and Junzheng Wang and Lei Zhang and Yuan Huang",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 32nd Chinese Control and Decision Conference, CCDC 2020 ; Conference date: 22-08-2020 Through 24-08-2020",

year = "2020",

month = aug,

doi = "10.1109/CCDC49329.2020.9164526",

language = "English",

series = "Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020",

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

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}

Zou, H, Song, J, Wang, J, Zhang, L & Huang, Y 2020, Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control. in Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020., 9164526, Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 4437-4442, 32nd Chinese Control and Decision Conference, CCDC 2020, Hefei, China, 22/08/20. https://doi.org/10.1109/CCDC49329.2020.9164526

Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control. / Zou, Hengguang; Song, Jiliang; Wang, Junzheng et al.
Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 4437-4442 9164526 (Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020).

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

TY - GEN

T1 - Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control

AU - Zou, Hengguang

AU - Song, Jiliang

AU - Wang, Junzheng

AU - Zhang, Lei

AU - Huang, Yuan

PY - 2020/8

Y1 - 2020/8

N2 - In this paper, we consider the model predictive control (MPC) design for the geostationary (GEO) satellite in achieving the station keeping. We first introduce the GEO satellite orbit system with perturbation, for which the control framework through MPC strategy is constructed. Then, a relative orbital elements model is presented to characterize the specific properties of the GEO satellite. It is shown that by resorting to the relative orbital elements, the station keeping problem can be disposed by solving an optimization problem. Note that compared with the traditional station keeping methods, MPC strategy is flexible in control decision making, and it could handle a certain of constraints. In this paper, control constraints are considered to satisfy the maximum thrust force of the satellite. Numerical simulations are carried out to validate the effectiveness of the proposed control strategy in solving the GEO satellite station keeping problem.

AB - In this paper, we consider the model predictive control (MPC) design for the geostationary (GEO) satellite in achieving the station keeping. We first introduce the GEO satellite orbit system with perturbation, for which the control framework through MPC strategy is constructed. Then, a relative orbital elements model is presented to characterize the specific properties of the GEO satellite. It is shown that by resorting to the relative orbital elements, the station keeping problem can be disposed by solving an optimization problem. Note that compared with the traditional station keeping methods, MPC strategy is flexible in control decision making, and it could handle a certain of constraints. In this paper, control constraints are considered to satisfy the maximum thrust force of the satellite. Numerical simulations are carried out to validate the effectiveness of the proposed control strategy in solving the GEO satellite station keeping problem.

KW - Geostationary satellite

KW - Model Predictive Control

KW - Relative orbital elements

KW - Station keeping

UR - https://www.scopus.com/pages/publications/85091590986

U2 - 10.1109/CCDC49329.2020.9164526

DO - 10.1109/CCDC49329.2020.9164526

M3 - Conference contribution

AN - SCOPUS:85091590986

T3 - Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

SP - 4437

EP - 4442

BT - Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 32nd Chinese Control and Decision Conference, CCDC 2020

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ER -

Zou H, Song J, Wang J, Zhang L, Huang Y. Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control. In Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 4437-4442. 9164526. (Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020). doi: 10.1109/CCDC49329.2020.9164526

Geostationary Station Keeping Using Relative Orbital Elements with Model Predictive Control

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