BAKHTAOUI FayzaKHECHAI InessENCA/ LOUKAL Keltoum2025-07-142025-07-142025-06-30ELC/16/25https://repository.univ-msila.dz/handle/123456789/47096This 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.enMagnetic LevitationPIDFuzzy LogicType-1Type-2Intelligent ControlMATLABSimulink.Thesis