NDLI: Fault detection for aircraft control surfaces using approximate input reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Haoyun Fu Jin Yan Santillo, M.A. Palanthandalam-Madapusi, H.J. Bernstein, D.S.
Copyright Year	2009
Description	Author affiliation: Department of Mechanical and Aerospace Engineering, Syracuse University, NY 13244, USA (Palanthandalam-Madapusi, H.J.) \|\| Department of Aerospace Engineering, The University of Michigan, Ann Arbor, 48109, USA (Haoyun Fu; Jin Yan; Santillo, M.A.; Bernstein, D.S.)
Abstract	We use an approximate input reconstruction algorithm to reconstruct unknown inputs, which are then used as a basis for fault detection. The approximate input reconstruction algorithm is a least squares algorithm that estimates both the unknown initial state and input history. The estimated inputs are then compared to the commanded values and sensor values to assess the health of actuators and sensors. This approach is applied to the longitudinal and lateral dynamics of an aircraft. The input reconstruction algorithm can be used for minimum-phase or nonminimum-phase zeros; however, zeros on the unit circle yield persistent estimation errors and thus poor input reconstruction.
Starting Page	4962
Ending Page	4967
File Size	1256162
Page Count	6
File Format	PDF
ISBN	9781424445233
ISSN	07431619
DOI	10.1109/ACC.2009.5160161
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Fault detection Aerospace control Surface reconstruction Least squares approximation Reconstruction algorithms State estimation History Actuators Aircraft Estimation error
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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