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 proceedingConference contribution

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 languageEnglish
Title of host publicationUKACC International Conference on CONTROL '98
Place of PublicationEssex
PublisherIET
Pages1522-1527
Number of pages6
Edition455
ISBN (Print)085296708X, 9780852967089
DOIs
Publication statusPublished - 1998
Externally publishedYes
EventUKACC International Conference on Control 1998 - Swansea University, Swansea, United Kingdom
Duration: 1 Sep 19984 Sep 1998
https://ukacc.group.shef.ac.uk/?page_id=87
https://ieeexplore.ieee.org/document/727823

Publication series

NameIEE Conference Publication
PublisherInstitution of Engineering and Technology
ISSN (Print)0537-9989

Conference

ConferenceUKACC International Conference on Control 1998
Abbreviated titleCONTROL '98
CountryUnited Kingdom
CitySwansea
Period1/09/984/09/98
Internet address

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  • Cite this

    Pearson, J. T., Eastham, M., & Goodall, R. M. (1998). Safety Critical Data Fusion Strategies for Inertial Sensing on Aircraft. In UKACC International Conference on CONTROL '98 (455 ed., pp. 1522-1527). (IEE Conference Publication). IET. https://doi.org/10.1049/cp:19980455