Backstepping Control of a Magnetic Levitation System Using PSO

Magnetic levitation systems are highly nonlinear and unstable systems and their efficacy depends on a well-designed controller for stabilizing the system and for tracking the desired reference signal. This work focuses on the design of a backstepping controller for a magnetic levitation (maglev) sys...

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Bibliographic Details
Published inStudies in Informatics and Control Vol. 32; no. 3; pp. 57 - 65
Main Authors ENGDA, Yeabisra Wubishet, JIN, Gang Gyoo, SON, Yung-Deug
Format Journal Article
LanguageEnglish
French
Published Bucharest National Institute for Research and Development in Informatics 01.09.2023
Subjects
Algorithms
Controllers
Design
Equilibrium
Friction
Load
Magnetic fields
Magnetic levitation systems
Mathematical models
Optimization techniques
Simulation
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Summary:Magnetic levitation systems are highly nonlinear and unstable systems and their efficacy depends on a well-designed controller for stabilizing the system and for tracking the desired reference signal. This work focuses on the design of a backstepping controller for a magnetic levitation (maglev) system under parameter uncertainty which is load variation. The mathematical model is obtained and the stable controller is designed based on this model and Lyapunov’s theorem. Then, the controller parameters are optimally tuned by minimizing the integral of absolute error and control deviation performance criterion using the particle swarm optimization (PSO) algorithm. For comparison purposes, a Proportional-Integral (PI)- type linear quadratic regulator is also designed. A set of simulation works are carried out in order to verify both the tracking performance and the robustness against disturbance for the proposed controller.
ISSN:1220-1766
1841-429X
DOI:10.24846/v32i3y202305