Títol:
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Sensor fault diagnosis of singular delayed LPV systems with inexact parameters: an uncertain system approach
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Autor/a:
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Hassanabadi, Amir Hossein; Shafiee, Masoud; Puig Cayuela, Vicenç
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Altres autors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
Abstract:
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In this paper, sensor fault diagnosis of a singular delayed linear parameter varying (LPV) system is considered. In the considered system, the model matrices are dependent on some parameters which are real-time measurable. The case of inexact parameter measurements is considered which is close to real situations. Fault diagnosis in this system is achieved via fault estimation. For this purpose, an augmented system is created by including sensor faults as additional system states. Then, an unknown input observer (UIO) is designed which estimates both the system states and the faults in the presence of measurement noise, disturbances and uncertainty induced by inexact measured parameters. Error dynamics and the original system constitute an uncertain system due to inconsistencies between real and measured values of the parameters. Then, the robust estimation of the system states and the faults are achieved with H8 performance and formulated with a set of linear matrix inequalities (LMIs). The designed UIO is also applicable for fault diagnosis of singular delayed LPV systems with unmeasurable scheduling variables. The efficiency of the proposed approach is illustrated with an example. |
Abstract:
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Peer Reviewed |
Matèries:
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-Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Detectors -System failures (Engineering) -fault diagnosis -inexact parameters -Singular delayed LPV system -uncertain system approach -unknown input observer (UIO) -Detectors -Errors de sistemes (Enginyeria) |
Drets:
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Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Tipus de document:
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Article - Versió presentada Article |
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