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Modélisation et commande floues de type Takagi-Sugeno appliquées à un bioprocédé de traitement des eaux usées

Victor Hugo Grisales Palacio 1
1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : This thesis work is placed at the crossroad of Automatic control, Artificial Intelligence and Biotechnology. It aims at developing a modelling and control methodology based on a fuzzy logic approach. The first part of the work presents an introduction to the principles and techniques used in current wastewater treatment plants. It highlights the difficulty in modelling the multiple phenomena involved. From this fact, in the second part, focused on fuzzy modelling and control, we develop initially the identification of affine fuzzy models of Takagi-Sugeno (TS) type from input-output data. We used several fuzzy clustering methods as well as an agglomerative-competitive method which is robust in presence of noise. This type of "grey box" approach allows a rule-based representation which approximates the nonlinear dynamics as a concatenation of locally linear sub-models in the nonlinear autoregressive form (NARX). Moreover, we have developed a graphical version of the FMID toolbox for the fuzzy modelling of systems. Then, we propose a suboptimal linear-quadratic TS fuzzy control relevant to the structure of the identified fuzzy model, by using the parallel distributed compensation (PDC) technique. Finally, the whole methodology is tested and validated in simulation on an aerobic wastewater treatment bioprocess.
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Contributor : Emilie Marchand <>
Submitted on : Tuesday, March 13, 2007 - 3:34:45 PM
Last modification on : Friday, October 23, 2020 - 5:02:15 PM
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  • HAL Id : tel-00136382, version 1


Victor Hugo Grisales Palacio. Modélisation et commande floues de type Takagi-Sugeno appliquées à un bioprocédé de traitement des eaux usées. Automatique / Robotique. Université Paul Sabatier - Toulouse III, 2007. Français. ⟨tel-00136382⟩



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