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Belief reliability modeling of coarse tracking system for satellite optical communication

Author

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  • Tao, Zhao
  • Chen, Wenbin
  • Li, Xiaoyang
  • Kang, Rui

Abstract

Coarse tracking system is an important part of satellite optical communication terminals, which uses feedback control to perform its function of the coarse alignment of beacon light, so its tracking accuracy is particularly critical. Under long-time operation, there are degradation and uncertainties affecting the tracking accuracy, which further causes reliability reduction. However, current research has not described the above relationship between the reliability of the coarse tracking system and the factors, including the function principle of feedback control, degradation, and uncertainties. In this work, the control theory and reliability science principles are combined for the reliability modeling of a coarse tracking system. First, we build up the performance margin equation of tracking accuracy for a coarse tracking system, which is characterized by a control block diagram model. Then, we construct the margin degradation equation by characterizing the combined effects of component degradations. Finally, we analyze and quantify the uncertainties, and give the reliability function of the coarse tracking system. The proposed model is applied to a real case. The corresponding results show that the proposed method can identify the critical components, the sensitive design parameters, and the main uncertainty sources, which can directly guide the design of the coarse tracking system.

Suggested Citation

  • Tao, Zhao & Chen, Wenbin & Li, Xiaoyang & Kang, Rui, 2025. "Belief reliability modeling of coarse tracking system for satellite optical communication," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
  • Handle: RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008342
    DOI: 10.1016/j.ress.2024.110763
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    References listed on IDEAS

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    1. Chen, Ying & Wang, Yanfang & Li, Shumin & Kang, Rui, 2023. "Hybrid uncertainty quantification of dependent competing failure process with chance theory," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    2. Huang, Tudi & Xiahou, Tangfan & Mi, Jinhua & Chen, Hong & Huang, Hong-Zhong & Liu, Yu, 2024. "Merging multi-level evidential observations for dynamic reliability assessment of hierarchical multi-state systems: A dynamic Bayesian network approach," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    3. Zhi‐Sheng Ye & Min Xie, 2015. "Rejoinder to ‘Stochastic modelling and analysis of degradation for highly reliable products’," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 31(1), pages 35-36, January.
    4. Yang, Chen & Lu, Wanze & Xia, Yuanqing, 2023. "Reliability-constrained optimal attitude-vibration control for rigid-flexible coupling satellite using interval dimension-wise analysis," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    5. Zhi‐Sheng Ye & Min Xie, 2015. "Stochastic modelling and analysis of degradation for highly reliable products," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 31(1), pages 16-32, January.
    6. Gong, Y. & Huynh, K.T. & Langeron, Y. & Grall, A., 2023. "Degradation index construction and learning-based prognostics for stochastically deteriorating feedback control systems," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    7. Chen, Wen-Bin & Li, Xiao-Yang & Kang, Rui, 2022. "Integration for degradation analysis with multi-source ADT datasets considering dataset discrepancies and epistemic uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    8. Langeron, Y. & Grall, A. & Barros, A., 2015. "A modeling framework for deteriorating control system and predictive maintenance of actuators," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 22-36.
    9. Li, Xiao-Yang & Chen, Wen-Bin & Kang, Rui, 2021. "Performance margin-based reliability analysis for aircraft lock mechanism considering multi-source uncertainties and wear," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    Full references (including those not matched with items on IDEAS)

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