An approach of faults estimation in Takagi-Sugeno fuzzy systems
Résumé
In this work, the problem of fault detection and identification in systems described by Takagi-Sugeno fuzzy systems is studied. A proportional integral observer is conceived in order to reconstruct state and faults which can affect the system. In order to estimate actuator and sensor faults, a mathematical transformation is made to conceive an augmented system, in which the initial sensor fault appears as an unknown input. Considering actuator fault as an unknown input, one can use a method of estimation of unknown inputs. The noise effect on the state and fault estimation is also minimized.
Domaines
Automatique / RobotiqueOrigine | Fichiers produits par l'(les) auteur(s) |
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