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Least order fault and model detection using multi-models

Varga, Andreas (2009) Least order fault and model detection using multi-models. Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, 16.-18. Dez. 2009, Shanghai, P.R. China.

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Multi-model based fault detection is often a viable alternative to various multi-model based state estimation techniques using banks of Kalman filters. A main advantage of the fault detection techniques based approach is the possibility to use detectors having low order dynamics with disturbance decoupling capabilities. The proposed synthesis algorithm of detectors relies on numerically reliable rational nullspace techniques enhanced with optimal tuning of detection sensitivities. The applicability of the multi-model based approach to solve fault identification problems is illustrated by solving a flight actuator fault detection problem with simultaneous faults.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:Least order fault and model detection using multi-models
AuthorsInstitution or Email of Authors
Varga, AndreasAndreas.Varga@DLR.de
Keywords:fault detection
Event Title:Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference
Event Location:Shanghai, P.R. China
Event Type:international Conference
Event Dates:16.-18. Dez. 2009
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems & Cabin
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics > System Dynamics and Control (former Control Design Engineering)
Deposited By: Monika Klauer
Deposited On:12 Jan 2010 16:37
Last Modified:19 May 2010 14:51

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