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

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• 作者：Lejun Chen^a ; ^{lejun.chen@exeter.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Ron Patton^b ; ^{r.j.patton@hull.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; Philippe Goupil^c ; ^{philippe.goupil@airbus.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Fault detection and diagnosis ; Mixed H&minus ; /H&infin ; H&minus ; /H&infin ; optimisation ; Reference model
• 刊名：Control Engineering Practice
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：49
• 期：Complete
• 页码：194-203
• 全文大小：6686 K

文摘

This paper investigates a mixed H₋/H_∞${\mathcal{H}}_{-}/{\mathcal{H}}_{\infty }$ 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.