The Research of Autonomous In-orbit Health Management System for China’s Manned Spacecrafts
The development trend of manned spacecraft is long-term in-orbit flight and long-term astronaut’s residency. Under the condition of limited TT&C resource, the autonomous health management of spacecraft is a critical and mandatory system to ensure the safety of the astronauts and platform. Based...
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2019-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201925701006 |
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doaj-c996dee0c9224c6e9341018228d9ff112021-03-02T10:12:25ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012570100610.1051/matecconf/201925701006matecconf_pmae2018_01006The Research of Autonomous In-orbit Health Management System for China’s Manned SpacecraftsBai LinhouYang HongLiang KeThe development trend of manned spacecraft is long-term in-orbit flight and long-term astronaut’s residency. Under the condition of limited TT&C resource, the autonomous health management of spacecraft is a critical and mandatory system to ensure the safety of the astronauts and platform. Based on the discussion of the autonomous health management objectives and management modes of manned spacecraft and combining the distribution and hierarchical information structure of China’s manned spacecraft, this paper elaborates an autonomous health management system. This autonomous health management system adopts a by-level safety threshold management method by establishing a mapping database between different important risk safety thresholds and system safety modes. When the key parameters reach different pre-set thresholds, the system autonomously downgrades and reconstructs the aircraft functionalities in the event of failure to realize optimal auto-processing and solves the issue between randomness of auto-processing and task continuity. The research has been applied to the China’s Space Station.https://doi.org/10.1051/matecconf/201925701006 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bai Linhou Yang Hong Liang Ke |
spellingShingle |
Bai Linhou Yang Hong Liang Ke The Research of Autonomous In-orbit Health Management System for China’s Manned Spacecrafts MATEC Web of Conferences |
author_facet |
Bai Linhou Yang Hong Liang Ke |
author_sort |
Bai Linhou |
title |
The Research of Autonomous In-orbit Health Management System for China’s Manned Spacecrafts |
title_short |
The Research of Autonomous In-orbit Health Management System for China’s Manned Spacecrafts |
title_full |
The Research of Autonomous In-orbit Health Management System for China’s Manned Spacecrafts |
title_fullStr |
The Research of Autonomous In-orbit Health Management System for China’s Manned Spacecrafts |
title_full_unstemmed |
The Research of Autonomous In-orbit Health Management System for China’s Manned Spacecrafts |
title_sort |
research of autonomous in-orbit health management system for china’s manned spacecrafts |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2019-01-01 |
description |
The development trend of manned spacecraft is long-term in-orbit flight and long-term astronaut’s residency. Under the condition of limited TT&C resource, the autonomous health management of spacecraft is a critical and mandatory system to ensure the safety of the astronauts and platform. Based on the discussion of the autonomous health management objectives and management modes of manned spacecraft and combining the distribution and hierarchical information structure of China’s manned spacecraft, this paper elaborates an autonomous health management system. This autonomous health management system adopts a by-level safety threshold management method by establishing a mapping database between different important risk safety thresholds and system safety modes. When the key parameters reach different pre-set thresholds, the system autonomously downgrades and reconstructs the aircraft functionalities in the event of failure to realize optimal auto-processing and solves the issue between randomness of auto-processing and task continuity. The research has been applied to the China’s Space Station. |
url |
https://doi.org/10.1051/matecconf/201925701006 |
work_keys_str_mv |
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