Control of Quadruple Tank Process Using Fuzzy Controllers Based on PSO Algorithm

dc.contributor.authorBOUNAB, Aymen Abdelmalik
dc.contributor.authorNADIR, Badr Eddine
dc.date.accessioned2020-11-16T14:20:09Z
dc.date.available2020-11-16T14:20:09Z
dc.date.issued2020
dc.description.abstractMost industrial processes are multi-variable systems of a complex nature. Studying these systems via benchmark systems, such as the quadruple tank process, seems to be an effective solution. The quadruple tank process is a multi-input-multi-output process with minimum and non- minimum phase behavior. In this work, we investigated how to control the quadruple tank process using a fuzzy controller optimized by a PSO algorithm. Indeed, this study necessarily starts with a modeling phase on which a classical PI-based controller has been designed. In order to better control the behavior of the studied system, a fuzzy control is considered in the second part of this work. Finally, the above-mentioned controllers are optimized using the PSO algorithm and then applied to the quadruple tank process in order to boost its performance in its both operating phases.en_US
dc.description.sponsorshipSoutenu devant le jury composé de: Dr OUBABAS Hocine Université Mohamed Boudiaf - M’sila Président Dr AKKA Ali Université Mohamed Boudiaf - M’sila Rapporteur Dr BARKAT Said Université Mohamed Boudiaf - M’sila Co-Rapporteur Dr HAMMOUCHE Abdelaziz Université Mohamed Boudiaf - M’sila Examinateuren_US
dc.identifier.otherELC/AUT002/20
dc.identifier.urihttps://depot.univ-msila.dz/handle/123456789/20457
dc.language.isofren_US
dc.publisherUniv M'silaen_US
dc.titleControl of Quadruple Tank Process Using Fuzzy Controllers Based on PSO Algorithmen_US
dc.typeThesisen_US

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