Digital Twin Modeling for Aerospace CMG Based on Energy Analysis

Cui Runhao; Tang Diyin; Chen Bin

doi:10.1007/978-981-19-6613-2_201

Digital Twin Modeling for Aerospace CMG Based on Energy Analysis

Cui Runhao
, Tang Diyin^*
, Chen Bin

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University
CAS - Beijing Institute of Control Engineering

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

Abstract

This paper presents a digital twin modeling approach for aerospace control moment gyro (CMG). The proposed modeling approach is on the basis of energy balance theory with the physical mechanism in order to analyze the degradation of CMG components. Firstly, a CMG digital twin (DT) energy model is established, which combines the energy consumption of each CMG unit. Next, the CMG degradation parameters are extracted through detailing the power loss of subsystems. Finally, by using CMG simulation data, the effectiveness and validity of the digital twin model are verified. The proposed digital twin model can be a useful tool for analyzing CMG degradation mechanism, and supporting anomaly detection and remaining useful life (RUL) prediction.

Original language	English
Title of host publication	Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
Editors	Liang Yan, Haibin Duan, Yimin Deng, Liang Yan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	2053-2062
Number of pages	10
ISBN (Print)	9789811966125
DOIs	https://doi.org/10.1007/978-981-19-6613-2_201
State	Published - 2023
Event	International Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, China Duration: 5 Aug 2022 → 7 Aug 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	845 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Guidance, Navigation and Control, ICGNC 2022
Country/Territory	China
City	Harbin
Period	5/08/22 → 7/08/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Control Moment Gyro (CMG)
Digital twin modeling
Energy analysis

Access to Document

10.1007/978-981-19-6613-2_201

Cite this

Runhao, C., Diyin, T., & Bin, C. (2023). Digital Twin Modeling for Aerospace CMG Based on Energy Analysis. In L. Yan, H. Duan, Y. Deng, & L. Yan (Eds.), Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control (pp. 2053-2062). (Lecture Notes in Electrical Engineering; Vol. 845 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6613-2_201

Runhao, Cui ; Diyin, Tang ; Bin, Chen. / Digital Twin Modeling for Aerospace CMG Based on Energy Analysis. Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. editor / Liang Yan ; Haibin Duan ; Yimin Deng ; Liang Yan. Springer Science and Business Media Deutschland GmbH, 2023. pp. 2053-2062 (Lecture Notes in Electrical Engineering).

@inproceedings{d0b6d5200b874fe296f795d6d7a009d1,

title = "Digital Twin Modeling for Aerospace CMG Based on Energy Analysis",

abstract = "This paper presents a digital twin modeling approach for aerospace control moment gyro (CMG). The proposed modeling approach is on the basis of energy balance theory with the physical mechanism in order to analyze the degradation of CMG components. Firstly, a CMG digital twin (DT) energy model is established, which combines the energy consumption of each CMG unit. Next, the CMG degradation parameters are extracted through detailing the power loss of subsystems. Finally, by using CMG simulation data, the effectiveness and validity of the digital twin model are verified. The proposed digital twin model can be a useful tool for analyzing CMG degradation mechanism, and supporting anomaly detection and remaining useful life (RUL) prediction.",

keywords = "Control Moment Gyro (CMG), Digital twin modeling, Energy analysis",

author = "Cui Runhao and Tang Diyin and Chen Bin",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2022 ; Conference date: 05-08-2022 Through 07-08-2022",

year = "2023",

doi = "10.1007/978-981-19-6613-2\_201",

language = "英语",

isbn = "9789811966125",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "2053--2062",

editor = "Liang Yan and Haibin Duan and Yimin Deng and Liang Yan",

booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control",

address = "德国",

}

Runhao, C, Diyin, T & Bin, C 2023, Digital Twin Modeling for Aerospace CMG Based on Energy Analysis. in L Yan, H Duan, Y Deng & L Yan (eds), Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. Lecture Notes in Electrical Engineering, vol. 845 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 2053-2062, International Conference on Guidance, Navigation and Control, ICGNC 2022, Harbin, China, 5/08/22. https://doi.org/10.1007/978-981-19-6613-2_201

Digital Twin Modeling for Aerospace CMG Based on Energy Analysis. / Runhao, Cui; Diyin, Tang; Bin, Chen.
Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. ed. / Liang Yan; Haibin Duan; Yimin Deng; Liang Yan. Springer Science and Business Media Deutschland GmbH, 2023. p. 2053-2062 (Lecture Notes in Electrical Engineering; Vol. 845 LNEE).

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

TY - GEN

T1 - Digital Twin Modeling for Aerospace CMG Based on Energy Analysis

AU - Runhao, Cui

AU - Diyin, Tang

AU - Bin, Chen

PY - 2023

Y1 - 2023

N2 - This paper presents a digital twin modeling approach for aerospace control moment gyro (CMG). The proposed modeling approach is on the basis of energy balance theory with the physical mechanism in order to analyze the degradation of CMG components. Firstly, a CMG digital twin (DT) energy model is established, which combines the energy consumption of each CMG unit. Next, the CMG degradation parameters are extracted through detailing the power loss of subsystems. Finally, by using CMG simulation data, the effectiveness and validity of the digital twin model are verified. The proposed digital twin model can be a useful tool for analyzing CMG degradation mechanism, and supporting anomaly detection and remaining useful life (RUL) prediction.

AB - This paper presents a digital twin modeling approach for aerospace control moment gyro (CMG). The proposed modeling approach is on the basis of energy balance theory with the physical mechanism in order to analyze the degradation of CMG components. Firstly, a CMG digital twin (DT) energy model is established, which combines the energy consumption of each CMG unit. Next, the CMG degradation parameters are extracted through detailing the power loss of subsystems. Finally, by using CMG simulation data, the effectiveness and validity of the digital twin model are verified. The proposed digital twin model can be a useful tool for analyzing CMG degradation mechanism, and supporting anomaly detection and remaining useful life (RUL) prediction.

KW - Control Moment Gyro (CMG)

KW - Digital twin modeling

KW - Energy analysis

UR - https://www.scopus.com/pages/publications/85151120304

U2 - 10.1007/978-981-19-6613-2_201

DO - 10.1007/978-981-19-6613-2_201

M3 - 会议稿件

AN - SCOPUS:85151120304

SN - 9789811966125

T3 - Lecture Notes in Electrical Engineering

SP - 2053

EP - 2062

BT - Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control

A2 - Yan, Liang

A2 - Duan, Haibin

A2 - Deng, Yimin

A2 - Yan, Liang

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Guidance, Navigation and Control, ICGNC 2022

Y2 - 5 August 2022 through 7 August 2022

ER -

Runhao C, Diyin T, Bin C. Digital Twin Modeling for Aerospace CMG Based on Energy Analysis. In Yan L, Duan H, Deng Y, Yan L, editors, Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. Springer Science and Business Media Deutschland GmbH. 2023. p. 2053-2062. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-6613-2_201

Digital Twin Modeling for Aerospace CMG Based on Energy Analysis

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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