Safety Critical Data Fusion Strategies for Inertial Sensing on Aircraft

J. T. Pearson; M. Eastham; R. M. Goodall

doi:10.1049/cp:19980455

Safety Critical Data Fusion Strategies for Inertial Sensing on Aircraft

J. T. Pearson, M. Eastham, R. M. Goodall

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

2 Citations (Scopus)

Abstract

This paper presents a data fusion system for a high performance aircraft. At the heart of the system is an Extended Kalman Filter which fuses data from distributed inertial sensors. The data fusion system provides high quality high integrity data to both the Flight Control and Navigation systems, and is consequently safety critical. The work also investigates a number of reconfiguration strategies that can be used to reconfigure the Kalman filter in the event of a sensor failure. The performance of this safety critical multi-sensor data fusion system in the event of sensor failures is evaluated through computer simulations and some preliminary results are included.

Original language	English
Title of host publication	UKACC International Conference on CONTROL '98
Place of Publication	Essex
Publisher	IET
Pages	1522-1527
Number of pages	6
Edition	455
ISBN (Print)	085296708X, 9780852967089
DOIs	https://doi.org/10.1049/cp:19980455
Publication status	Published - 1998
Externally published	Yes
Event	UKACC International Conference on Control 1998 - Swansea University, Swansea, United Kingdom Duration: 1 Sep 1998 → 4 Sep 1998 https://ukacc.group.shef.ac.uk/?page_id=87 https://ieeexplore.ieee.org/document/727823

Publication series

Name	IEE Conference Publication
Publisher	Institution of Engineering and Technology
ISSN (Print)	0537-9989

Conference

Conference	UKACC International Conference on Control 1998
Abbreviated title	CONTROL '98
Country/Territory	United Kingdom
City	Swansea
Period	1/09/98 → 4/09/98
Internet address	https://ukacc.group.shef.ac.uk/?page_id=87 https://ieeexplore.ieee.org/document/727823

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10.1049/cp:19980455Licence: Unspecified

Cite this

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title = "Safety Critical Data Fusion Strategies for Inertial Sensing on Aircraft",

abstract = "This paper presents a data fusion system for a high performance aircraft. At the heart of the system is an Extended Kalman Filter which fuses data from distributed inertial sensors. The data fusion system provides high quality high integrity data to both the Flight Control and Navigation systems, and is consequently safety critical. The work also investigates a number of reconfiguration strategies that can be used to reconfigure the Kalman filter in the event of a sensor failure. The performance of this safety critical multi-sensor data fusion system in the event of sensor failures is evaluated through computer simulations and some preliminary results are included.",

keywords = "Data Fusion, Kalman Filter, Safety Critical",

author = "Pearson, {J. T.} and M. Eastham and Goodall, {R. M.}",

year = "1998",

doi = "10.1049/cp:19980455",

language = "English",

isbn = "085296708X",

series = "IEE Conference Publication",

publisher = "IET",

pages = "1522--1527",

booktitle = "UKACC International Conference on CONTROL '98",

address = "United Kingdom",

edition = "455",

note = "UKACC International Conference on Control 1998, CONTROL '98 ; Conference date: 01-09-1998 Through 04-09-1998",

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AU - Eastham, M.

AU - Goodall, R. M.

PY - 1998

Y1 - 1998

N2 - This paper presents a data fusion system for a high performance aircraft. At the heart of the system is an Extended Kalman Filter which fuses data from distributed inertial sensors. The data fusion system provides high quality high integrity data to both the Flight Control and Navigation systems, and is consequently safety critical. The work also investigates a number of reconfiguration strategies that can be used to reconfigure the Kalman filter in the event of a sensor failure. The performance of this safety critical multi-sensor data fusion system in the event of sensor failures is evaluated through computer simulations and some preliminary results are included.

AB - This paper presents a data fusion system for a high performance aircraft. At the heart of the system is an Extended Kalman Filter which fuses data from distributed inertial sensors. The data fusion system provides high quality high integrity data to both the Flight Control and Navigation systems, and is consequently safety critical. The work also investigates a number of reconfiguration strategies that can be used to reconfigure the Kalman filter in the event of a sensor failure. The performance of this safety critical multi-sensor data fusion system in the event of sensor failures is evaluated through computer simulations and some preliminary results are included.

KW - Data Fusion

KW - Kalman Filter

KW - Safety Critical

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U2 - 10.1049/cp:19980455

DO - 10.1049/cp:19980455

M3 - Conference contribution

AN - SCOPUS:0031994352

SN - 085296708X

SN - 9780852967089

T3 - IEE Conference Publication

SP - 1522

EP - 1527

BT - UKACC International Conference on CONTROL '98

PB - IET

CY - Essex

T2 - UKACC International Conference on Control 1998

Y2 - 1 September 1998 through 4 September 1998

ER -

Safety Critical Data Fusion Strategies for Inertial Sensing on Aircraft

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