Anomaly Detection for Spacecraft by Estimating Parameters with Particle Filter
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- Goto Kohei
- 東京大学大学院工学系研究科航空宇宙工学専攻
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- Kawahara Yoshinobu
- 東京大学大学院工学系研究科航空宇宙工学専攻
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- Yairi Takehisa
- 東京大学先端科学技術センター
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- Machida Kazuo
- 東京大学先端科学技術センター
Bibliographic Information
- Other Title
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- Particle Filterを用いたパラメータ推定による宇宙機異常検知
- Particle Filter オ モチイタ パラメータ スイテイ ニ ヨル ウチュウキ イジョウ ケンチ
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Abstract
This paper proposes a method of early spacecraft anomaly detection by simultaneously estimating its states and parameters. We applied an extended particle filter algorithm in order to estimate not only states but also parameters. In this method, we incorporated artificial evolution of parameters and kernel smoothing of parameters into the ordinary particle filter algorithm. Each parameter is related to each state of the spacecraft components, so we can understand what is happening in the spacecraft by finding out parameters’ changing signs. We tested the algorithm on a simulation of spacecraft attitude motion.
Journal
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- JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
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JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 55 (642), 355-358, 2007
THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
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Keywords
Details 詳細情報について
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- CRID
- 1390001204470668032
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- NII Article ID
- 10019783954
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- NII Book ID
- AA11307372
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- ISSN
- 24323691
- 13446460
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- NDL BIB ID
- 8894063
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed