Model-based fault detection for the DELFI-N3XT attitude determination system

Napoleon E. Cornejo, Rouzbeh Amini, Georgi Gaydadjiev

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

8 Citations (Scopus)

Abstract

The Delfi-n3Xt nanosatellite is the second Dutch university satellite currently being developed at the Delft University of Technology. In its design, the Attitude Determination System (ADS) will be pivotal for optimal power point tracking to adequately provide the energy needed for normal operation and charging of the batteries. In this paper we explore a fault detection mechanism for the ADS based on the Unscented Kalman Filter (UKF) state estimator which has been successfully integrated into the simulation and modelling environment. The UKF provides a more computationally efficient estimator than traditional Kalman Filter variants. Faults introduced in the system include changes in the noise model and stuck-at-0 faults, resulting in disturbances in the output of the filter. Parameters of the filter are varied and the behaviour of the outcoming residuals is analyzed to evaluate its effectiveness in the detection of these errors.

Original languageEnglish
Title of host publication2010 IEEE Aerospace Conference Proceedings
PublisherIEEE
ISBN (Print)9781424438884
DOIs
Publication statusPublished - 2-Jun-2010
Externally publishedYes
Event2010 IEEE Aerospace Conference - Big Sky, MT, United States
Duration: 6-Mar-201013-Mar-2010

Publication series

NameIEEE Aerospace Conference Proceedings
ISSN (Print)1095-323X

Conference

Conference2010 IEEE Aerospace Conference
CountryUnited States
CityBig Sky, MT
Period06/03/201013/03/2010

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