Artificial Intelligence Control of a Magnetic Levitation System

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dc.contributor.authorBAKHTAOUI Fayza
dc.contributor.authorKHECHAI Iness
dc.contributor.authorENCA/ LOUKAL Keltoum
dc.date.accessioned2025-07-14T11:15:17Z
dc.date.available2025-07-14T11:15:17Z
dc.date.issued2025-06-30
dc.description.abstractThis work presents an intelligent control approach applied to a magnetic levitation system using PID, Type-1, and Type-2 Fuzzy Logic Controllers. The main objective is to enhance the system’s stability and response under uncertain and noisy conditions. Simulations are conducted using MATLAB/Simulink to validate the performance of each control technique. The results show that Type-2 Fuzzy Logic offers superior dynamic performance, especially in the presence of disturbances and uncertainties.
dc.identifier.otherELC/16/25
dc.identifier.urihttps://repository.univ-msila.dz/handle/123456789/47096
dc.language.isoen
dc.publisherUniversity of M’Sila
dc.subjectMagnetic Levitation
dc.subjectPID
dc.subjectFuzzy Logic
dc.subjectType-1
dc.subjectType-2
dc.subjectIntelligent Control
dc.subjectMATLAB
dc.subjectSimulink.
dc.titleArtificial Intelligence Control of a Magnetic Levitation System
dc.typeThesis

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