Artificial Intelligence Control of a Magnetic Levitation System
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Date
2025-06-30
Journal Title
Journal ISSN
Volume Title
Publisher
University of M’Sila
Abstract
This 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.
Description
Keywords
Magnetic Levitation, PID, Fuzzy Logic, Type-1, Type-2, Intelligent Control, MATLAB, Simulink.