Fault Tolerant Control approach based on Multiple Models and set-membership state estimation
| Autor: | S. Ben Chabane, Eduardo F. Camacho, Didier Dumur, C. Stoica Maniu, Teodoro Alamo |
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| Přispěvatelé: | Laboratoire des signaux et systèmes (L2S), Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Sud - Paris 11 (UP11), Departamento de Ingenieria de Sistemas y Automatica [Sevilla] (ISA), MCYT-SpainMinistry of Science and Innovation, Spain (MICINN) [DPI2013-48243-C2-2-R], Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
FD Linear system FTC Fault tolerance 02 engineering and technology Optimal control MM-Max MPC [SPI.AUTO]Engineering Sciences [physics]/Automatic Set (abstract data type) Model predictive control 020901 industrial engineering & automation Control theory Bounded function Component (UML) 0202 electrical engineering electronic engineering information engineering set-membership state estimation 020201 artificial intelligence & image processing uncertain linear systems Actuator Mathematics Multiple Models |
| Zdroj: | European Control Conference (ECC) 15th European Control Conference (ECC 2016) 15th European Control Conference (ECC 2016), Jun 2016, Aalborg, Denmark ECC |
| Popis: | International audience; This paper proposes a new Fault Tolerant Control technique based on the Multiple Models approach for linear systems with bounded perturbations and measurement noises. The consistency of each model with the measurements is checked at each sample time, using an ellipsoidal set-membership state estimation. A Min-Max Model Predictive Control is developed in order to find the optimal control and the best model in spite of the simultaneous presence of component and/or actuator and/or sensor faults. An illustrative example is analyzed in order to show the effectiveness of the proposed approach. Index Terms-FTC, FD, Multiple Models, set-membership state estimation, Min-Max MPC, uncertain linear systems. |
| Databáze: | OpenAIRE |
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