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Commande tolérante aux défauts et diagnostic des systèmes à retard inconnu par une approche sans modèle

Abstract : In this thesis, the model-free control was applied and adapted to delayed systems whose delay is either known or unknown. This method of control does not require the specific knowledge of a model of the system, it finds all its effectiveness in the apprehension of the unknown delays. Different adaptations of the classical approach, based on the minimization of frequency and temporal criteria, have been proposed in the context of a known, bounded or unknown delay. They allowed us to extend the range of systems considered and to improve the intrinsic performance of the model-free control. The delayed systems, which are the main target of this thesis, were able to benefit from these improvements. The problem of the fault-diagnosis of delayed systems was then addressed. A new method of model-free diagnosis has been proposed, based on model-free control principles. Our proposal only uses the temporal evolution of the system's input and output signals. Due to the generation of residual signals, the detection and localization of actuator/system faults were permitted under certain assumptions. Finally, we have studied the fault-tolerance properties of model-free control and its efficacy has been proven. Compared with more conventional methods, such as the PI Controller for example, a notable difference is to be mentioned. Indeed, unlike a PI controller, the model-free control is robust not only to low-frequency input disturbance signals, but it also allows for the rejection of other signal types by estimating summary parameters. Throughout this report, the effectiveness of the proposed approaches was illustrated in terms of control or diagnosis by multiple academic examples
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Submitted on : Thursday, January 10, 2019 - 3:56:06 PM
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  • HAL Id : tel-01977205, version 1



Maxime Doublet. Commande tolérante aux défauts et diagnostic des systèmes à retard inconnu par une approche sans modèle. Automatique / Robotique. Université de Lorraine, 2018. Français. ⟨NNT : 2018LORR0188⟩. ⟨tel-01977205⟩



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