UIO design and Sensor Fault Diagnosis of LPV Systems with time delay Using Descriptor Approach
| Autor: | Nouceyba Abdelkrim, Mohamed Naceur Abdelkrim, Zina Bougatef, Abdelouhab Aitouche |
|---|---|
| Přispěvatelé: | Ecole Nationale d'Ingénieurs de Gabès, Diagnostic, Commande et Observation pour des systèmes Tolérants aux fautes (DiCOT), Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Hautes Etudes d’Ingénieur [Lille] (HEI), Modélisation, Analyse et Commande de Systèmes - MACS (Gabès, Tunisie), Université de Gabès, Ecole Nationale d'Ingénieurs de Gabès (ENIG), JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science 020208 electrical & electronic engineering Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Observer (special relativity) Residual Fault detection and isolation [SPI.AUTO]Engineering Sciences [physics]/Automatic [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering ComputingMilieux_MISCELLANEOUS |
| Zdroj: | International Multi-Conference on Systems, Signals & Devices, Conference on Systems, Automation & Control International Multi-Conference on Systems, Signals & Devices, Conference on Systems, Automation & Control, Mar 2018, Hammamet, France SSD |
| Popis: | In this work, sensor fault diagnosis of linear parameter varying (LPV) systems with varying time-delay is considered. By using the descriptor approach which introduce the faults in the studied system having the property of auxiliary state, the estimation of sensor faults is achieved. For this purpose and in order to estimate both the system states and the faults an augmented system is created firstly and an unknown input observer (UIO) for delayed (LPV)systems is designed secondly. Then, we elaborate an algorithm to compute the observer gains. Sensor fault detection is based on the (UIO) approach for residual generation that is sensitive to faults. Finally, an (LPV) truck-trailer system with sensor faults is presented |
| Databáze: | OpenAIRE |
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