STATE DETECTION OF OXYGEN GENERATION SYSTEM IN SPACE STATION VIA STOCHASTIC PROJECTION KALMAN FILTER

Rui Guo; Mingbo Lv; Yunhua Li

doi:10.1049/icp.2021.0408

STATE DETECTION OF OXYGEN GENERATION SYSTEM IN SPACE STATION VIA STOCHASTIC PROJECTION KALMAN FILTER

Rui Guo^*
, Mingbo Lv
, Yunhua Li

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The oxygen generation system by using electrolytic water in space station is a key physical and chemical recycling equipment. Its operating state directly determines the activation frequency of the standby oxygen cylinder and endangers the life safety of the astronauts. For high-precision control of oxygen production and system fault diagnosis, we need to obtain high-accuracy estimation of the inner state of the system, e.g. partial oxygen pressure in the electrolysis unit. In this paper, a novel state estimation algorithm named stochastic projection Kalman filter is proposed. Compared with EKF and UKF algorithm, the new algorithm can obtain higher estimation precision and better convergence.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	1265-1269
Number of pages	5
Volume	2020
Edition	3
ISBN (Electronic)	9781839534195
DOIs	https://doi.org/10.1049/icp.2021.0408
State	Published - 2020
Event	2020 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2020 - Virtual, Online Duration: 18 Sep 2020 → 21 Sep 2020

Conference

Conference	2020 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2020
City	Virtual, Online
Period	18/09/20 → 21/09/20

Keywords

ELECTROLYTIC WATER
OXYGEN GENERATION SYSTEM
SPACE STATION
STOCHASTIC PROJECTION FILTER

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10.1049/icp.2021.0408

Cite this

@inproceedings{87739bc5641d43539be4505a9a6a4ea0,

title = "STATE DETECTION OF OXYGEN GENERATION SYSTEM IN SPACE STATION VIA STOCHASTIC PROJECTION KALMAN FILTER",

abstract = "The oxygen generation system by using electrolytic water in space station is a key physical and chemical recycling equipment. Its operating state directly determines the activation frequency of the standby oxygen cylinder and endangers the life safety of the astronauts. For high-precision control of oxygen production and system fault diagnosis, we need to obtain high-accuracy estimation of the inner state of the system, e.g. partial oxygen pressure in the electrolysis unit. In this paper, a novel state estimation algorithm named stochastic projection Kalman filter is proposed. Compared with EKF and UKF algorithm, the new algorithm can obtain higher estimation precision and better convergence.",

keywords = "ELECTROLYTIC WATER, OXYGEN GENERATION SYSTEM, SPACE STATION, STOCHASTIC PROJECTION FILTER",

author = "Rui Guo and Mingbo Lv and Yunhua Li",

note = "Publisher Copyright: {\textcopyright} 2020 The Institution of Engineering and Technology.; 2020 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2020 ; Conference date: 18-09-2020 Through 21-09-2020",

year = "2020",

doi = "10.1049/icp.2021.0408",

language = "英语",

volume = "2020",

pages = "1265--1269",

booktitle = "IET Conference Proceedings",

publisher = "Institution of Engineering and Technology",

address = "英国",

edition = "3",

}

Guo, R, Lv, M & Li, Y 2020, STATE DETECTION OF OXYGEN GENERATION SYSTEM IN SPACE STATION VIA STOCHASTIC PROJECTION KALMAN FILTER. in IET Conference Proceedings. 3 edn, vol. 2020, Institution of Engineering and Technology, pp. 1265-1269, 2020 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2020, Virtual, Online, 18/09/20. https://doi.org/10.1049/icp.2021.0408

TY - GEN

T1 - STATE DETECTION OF OXYGEN GENERATION SYSTEM IN SPACE STATION VIA STOCHASTIC PROJECTION KALMAN FILTER

AU - Guo, Rui

AU - Lv, Mingbo

AU - Li, Yunhua

PY - 2020

Y1 - 2020

N2 - The oxygen generation system by using electrolytic water in space station is a key physical and chemical recycling equipment. Its operating state directly determines the activation frequency of the standby oxygen cylinder and endangers the life safety of the astronauts. For high-precision control of oxygen production and system fault diagnosis, we need to obtain high-accuracy estimation of the inner state of the system, e.g. partial oxygen pressure in the electrolysis unit. In this paper, a novel state estimation algorithm named stochastic projection Kalman filter is proposed. Compared with EKF and UKF algorithm, the new algorithm can obtain higher estimation precision and better convergence.

AB - The oxygen generation system by using electrolytic water in space station is a key physical and chemical recycling equipment. Its operating state directly determines the activation frequency of the standby oxygen cylinder and endangers the life safety of the astronauts. For high-precision control of oxygen production and system fault diagnosis, we need to obtain high-accuracy estimation of the inner state of the system, e.g. partial oxygen pressure in the electrolysis unit. In this paper, a novel state estimation algorithm named stochastic projection Kalman filter is proposed. Compared with EKF and UKF algorithm, the new algorithm can obtain higher estimation precision and better convergence.

KW - ELECTROLYTIC WATER

KW - OXYGEN GENERATION SYSTEM

KW - SPACE STATION

KW - STOCHASTIC PROJECTION FILTER

UR - https://www.scopus.com/pages/publications/85138309978

U2 - 10.1049/icp.2021.0408

DO - 10.1049/icp.2021.0408

M3 - 会议稿件

AN - SCOPUS:85138309978

VL - 2020

SP - 1265

EP - 1269

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 2020 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2020

Y2 - 18 September 2020 through 21 September 2020

ER -

STATE DETECTION OF OXYGEN GENERATION SYSTEM IN SPACE STATION VIA STOCHASTIC PROJECTION KALMAN FILTER

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Keywords

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