Bond Graph-Based Modelling and Control of Electromagnetic Levitation System Using Firefly Optimization

Ismail Dif; Naas Dif; Khier Benmahammed

doi:10.18540/jcecvl9iss4pp15867-01e

Autores/as

Ismail Dif Applied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Science and Technology University of Ziane Achour of Djelfa, 17000, Algeria https://orcid.org/0000-0002-7153-2480
Naas Dif Saad Dahleb University Blida, LABSET Laboratory, Algeria https://orcid.org/0000-0001-9474-6775
Khier Benmahammed Intelligent Systems Laboratory (LSI), Department of Electronics, Faculty of Technology, Ferhat Abbas Setif1 University, Algeria https://orcid.org/0000-0003-3299-0363

DOI:

https://doi.org/10.18540/jcecvl9iss4pp15867-01e

Palabras clave:

Bond graph. Maglev system. Asymptotic tracking control. Firefly optimization

Resumen

This paper focuses on the modelling and control of an electromagnetic suspension using the bond graph tool. This technique combines graphical and relational aspects to establish connections between bond graph elements, particularly in deducing junction relationships and employing bicausal inversion for trajectory tracking controller design. To determine the controller parameters, we utilized a meta-heuristic method called Firefly for optimization, thus avoiding the need for trial and error. The simulation was conducted using 20-Sim software and a Matlab/Simulink script, which yielded improved results. This paper presents an initial contribution that demonstrates the integration of meta-heuristic optimization and the bond graph tool for parameter selection in 20-sim simulation software.