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Robust fault estimation using an LPV reference model : ADDSAFE benchmark case study

Chen, Lejun; Patton, Ron; Goupil, Philippe

Authors

Lejun Chen

Profile image of Ron Patton

Professor Ron Patton R.J.Patton@hull.ac.uk
Emeritus Professor of Control and Intelligent Systems Engineering

Philippe Goupil



Abstract

This paper investigates a mixed H−/H∞ linear parameter varying (LPV) fault estimator using an LPV reference estimator. LMIs are used to calculate the affine parameter-dependent gains of the LPV fault estimator. The design strategy is applied to a high fidelity nonlinear aircraft model provided by AIRBUS for use within the EU-FP7 project ADDSAFE, to estimate the yaw rate sensor faults in the Air Data Inertial Reference System in the presence of the parametric uncertainties. The fault detection performances in various flight conditions are evaluated using the parametric simulation.

Citation

Chen, L., Patton, R., & Goupil, P. (2016). Robust fault estimation using an LPV reference model : ADDSAFE benchmark case study. Control engineering practice, 49, 194-203. https://doi.org/10.1016/j.conengprac.2015.12.006

Journal Article Type Article
Acceptance Date Dec 11, 2015
Online Publication Date Dec 24, 2015
Publication Date 2016-04
Deposit Date May 26, 2016
Publicly Available Date May 26, 2016
Journal Control engineering practice
Print ISSN 0967-0661
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 49
Pages 194-203
DOI https://doi.org/10.1016/j.conengprac.2015.12.006
Keywords Fault detection and diagnosis; Mixed H−/H∞ optimisation; Reference model
Public URL https://hull-repository.worktribe.com/output/438774
Publisher URL http://www.sciencedirect.com/science/article/pii/S0967066115300605
Additional Information Authors' accepted manuscript of article published in: Control engineering practice, 2016, v.49.
Contract Date May 26, 2016

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