Fuzzy predictive control of the coupled tanks process

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dc.contributor.author Guerazem, Said
dc.contributor.author Benslimane, Tarik
dc.contributor.other Boukhetala, Djamel, Directeur de thèse
dc.contributor.other Achour, Hakim, Directeur de thèse
dc.date.accessioned 2024-10-07T13:21:39Z
dc.date.available 2024-10-07T13:21:39Z
dc.date.issued 2024
dc.identifier.other EP00730
dc.identifier.uri http://repository.enp.edu.dz/jspui/handle/123456789/11009
dc.description Mémoire de Projet de Fin d’Études : Automatique : Alger, École Nationale Polytechnique : 2024 fr_FR
dc.description.abstract The main objective of this End of Studies project concerns the level control of the coupled tank systems. We begin with a description of the benchmark available in the laboratory of the Control Engineering Department, then we develop an analytical mathematical model of the system in question through which the description of the dynamic characteristics of the system has been carried out. A decentralised PI controller was adopted whilst the adjustment of its parameters has been carried out using a PSO algorithm. This control technique was taken as a reference for comparison with the techniques that we developed subsequently. Firstly, we develop two control techniques , linear and non-linear model predictive control (MPC) techniques. Additionally, we propose another approach based on recurrent neural networks (RNN) to predict the control inputs and reduce the computation time compared with conventional methods. Finally, we used Takagi-Sugeno type fuzzy systems to describe the non-linear model for multi-model control with stability analysis and trajectory tracking. Robustness tests have been carried out to evaluate the performance of each method fr_FR
dc.language.iso en fr_FR
dc.subject Quadruple fr_FR
dc.subject Tank process fr_FR
dc.subject Decentralized PI control Model Predictive Control (MPC) -Recurrent Neural Networks (RNNs) fr_FR
dc.subject Model Predictive Control (MPC) fr_FR
dc.subject Recurrent neural networks (RNNs) fr_FR
dc.subject Takagi-Sugeno fuzzy models fr_FR
dc.subject PDC control fr_FR
dc.subject Linear matrix inequality (LMI) fr_FR
dc.subject Particle Swarm Optimization (PSO) fr_FR
dc.title Fuzzy predictive control of the coupled tanks process fr_FR
dc.type Thesis fr_FR


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