Design of infinite sliding mode state observer with application to CO2 absorption system of space station

Guo, Rui; Li, Yunhua; Lv, Mingbo

doi:10.1016/j.actaastro.2019.05.001

Cited by 4 publications

(1 citation statement)

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“…Because the cargo spaceships between the space and earth can't be launched deliberately at any time, EOGS must guarantee the high reliability and ECLSS will open the carried oxygen bottle to supply oxygen to the astronauts [10] when EOGS fails to produce oxygen. Since the oxygen carried during each launch is limited, and as the oxygen is gradually consumed, the oxygen content in the cabin will continue to decline, which not only affects the normal work of the astronaut, but also poses a serious threat to the life of the astronaut [11,12]. The electrolytic oxygen plant of the International Space Station (ISS) developed by the United States was put into formal use after being verified in the orbit.…”

Section: Introductionmentioning

confidence: 99%

UKF-Based State Estimation for Electrolytic Oxygen Generation System of Space Station

et al. 2021

Applied Sciences

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Electrolytic oxygen generation system (EOGS) is the only system that can provide oxygen for astronauts in a physicochemical regenerative way in a long-term manned spacecraft. In order to ensure that the astronauts in the cabin can obtain a continuous and enough oxygen supply, it is necessary to carry out real-time condition monitoring and fault diagnosis of the EOGS. This paper deals with condition monitoring and fault diagnosis of the EOGS. Firstly, the dynamic model of the system is established based on the principle electrolysis for actual oxygen production system and the state observer of the system has been designed by using unscented Kalman filter (UKF). The total pressure in the cabin and the partial pressure of oxygen in the electrolytic cell can be observed. Then, considered the actual conditions of the manned space mission with one more astronaut, i.e., 3 astronauts, the simulation experiment is carried out. The simulation results show that the method can effectively estimate the system state, and it is of great significance to ensure the normal operation of the electrolytic EOGS system in the space station.

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Section: Introductionmentioning

confidence: 99%