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Contribution à une Surveillance Indirecte suite à une Commande Robuste des Systèmes : Approche Multicritères

Abstract : This PhD thesis deals with the problematic of Control-Supervisory architectures of Flexible Manufacturing Systems (FMS). Indeed, the proposed Control-Supervisory architecture has the objective to minimize the tasks of the corrective maintenance. The developed architecture 'Indirect Supervisory following a Robust Control' has the objective to monitor the parameters of the control law to maintain the passive robustness of the system. The instantaneous follow-up of deviations in the context of active robustness is a means to predict the inevitable events that may influence the robustness of the system. This architecture is approached in two principal blocks: Control block and Supervisory block. The robust control function of the control block and the follow-up_detection and prognosis functions of the Supervisory block are the keys of this architecture. Indeed, for the robust control function we developed a construction methodology of multicriteria (flow and quality) robust control law generating the margins of passive and active robustness. For the prognosis function, we introduced a novel neural architecture for time-series prediction: the 'Double Recurrent Radial Basis Function network' (R2RBF). For the follow-up_detection function, we proposed a new model of the detection deficiency symptoms through the follow-up of the temporal and non-temporal performance indicators. At the end of this thesis, an application to an industrial system is presented to confirm the contribution of the proposed architecture: 'Indirect Supervisory following a Robust Control'.
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https://tel.archives-ouvertes.fr/tel-00614151
Contributor : Achraf Jabeur Telmoudi <>
Submitted on : Tuesday, August 9, 2011 - 4:33:38 PM
Last modification on : Friday, October 23, 2020 - 4:39:31 PM
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Achraf Jabeur Telmoudi. Contribution à une Surveillance Indirecte suite à une Commande Robuste des Systèmes : Approche Multicritères. Automatique / Robotique. Université de Tunis; Ecole Supérieure des Sciences et Techniques de Tunis, 2011. Français. ⟨tel-00614151⟩

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