Reliability modeling for power converter in satellite considering periodic phased mission

Ying Zeng, Tudi Huang, Yan-Feng Li and Hong-Zhong Huang

Reliability Engineering and System Safety, 2023, vol. 232, issue C

Abstract: The reliability of the power converter system, an essential energy adapter connecting solar panels and batteries in the satellite, is crucial to an entire satellite. In practical engineering, the reliability of electronic component or module of the power converter system is always calculated by applying the constant failure rate model, against the feature of a periodic phased mission system (PPMS) in space. Therefore, this paper adopts a new fusing failure rate to build a more accurate model of reliability considering PPMS. In particular, the applicability of the new model is demonstrated to not only components following exponential distribution, but also to others following Weibull distribution. Furthermore, for the converter level, the Dynamic Fault Tree and Markov Process (MP) are utilized to model converter's reliability with the help of the state lumping method. In the case study, the reliability modeling of a dual Buck-Boost converter in satellite is conducted, as well as the optimization for redundancy design. The result indicates that the reliability of the converter in the satellite is more accurate and reasonable than that of using traditional methods.

Keywords: Periodic phased mission system; Reliability modeling; Markov process; Power converter (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:232:y:2023:i:c:s0951832022006548

DOI: 10.1016/j.ress.2022.109039

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