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Synthesis of robust gain scheduling based fault detection filters for a class of parameter uncertain nonlinear systems

Varga, Andreas (2011) Synthesis of robust gain scheduling based fault detection filters for a class of parameter uncertain nonlinear systems. 19th Mediterranean Conference on Control and Automation, June 20-23, 2011, Corfu, Greece.

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Abstract

We discuss the solution of the fault detection problem for parameter uncertain nonlinear systems using a gain scheduling based approach. By using a set of linearized plant models, a set of least order linear fault detection filters is determined to serve for interpolation based gain scheduling. The basic synthesis approach is the nullspace method for constant linear systems, whose extension to the case of linear parameter varying (LPV) models provides the methodological framework for the synthesis of robust fault detection filters. The resulting gain scheduled fault detection filter provides robustness with respect to both model nonlinearities as well as parametric uncertainties. In a general setting, we consider the case when part of the uncertain parameters are non-measurable and part of them are measurable.

Document Type:Conference or Workshop Item (Paper)
Title:Synthesis of robust gain scheduling based fault detection filters for a class of parameter uncertain nonlinear systems
Authors:
AuthorsInstitution or Email of Authors
Varga, Andreasandreas.varga@dlr.de
Date:2011
Refereed publication:Yes
In ISI Web of Science:No
Page Range:pp. 467-472
Status:Published
Keywords:fault detection, robust synthesis, numerical methods
Event Title:19th Mediterranean Conference on Control and Automation
Event Location:Corfu, Greece
Event Type:international Conference
Event Dates:June 20-23, 2011
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:ATM and Operation
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Air Transport Concepts and Operation
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics > System Dynamics and Control (former Control Design Engineering)
Deposited By: Dr.-Ing. Andreas Varga
Deposited On:18 Jul 2011 11:08
Last Modified:30 Jan 2012 09:52

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