Control and Robust Stabilization at Unstable Equilibrium by Fractional Controller for Magnetic Levitation Systems

The problem of control and stabilizing inherently non-linear unstable magnetic levitation (Maglev) systems with uncertain equilibrium states has been studied. Accordingly, some significant works related to different approaches have highlighted provide robust enhance the performance Maglev system. This work examines a method stabilize system in presence disturbance parameter variations minimize magnet gap deviation from position. To fulfill stabilization rejection for this dynamic system, fractional order PID, sliding mode, Fuzzy are conducted. In design suitable outlines based on controllers, tuning hybrid GWO–PSO algorithms is applied by using criteria as Integrated Absolute Error (IAE), Time Weighted (ITAE), Squared (ISE), (ITSE). general, these objectives used targeting best specified parameters. Finally, simulation results presented determine which controllers demonstrate better performance, achieve fast stability closed-loop excellent suppression effect under nonlinear uncertainty existing processing