Modelling and Control of a Magnetic Levitation System

S. M. A. Motakabber; AHM Zahirul Alam; Khairul Izham Bin Kamal

doi:10.69955/ajoeee.2024.v4i1.55

Authors

S. M. A. Motakabber International Islamic University Malaysia https://orcid.org/0000-0001-8114-8047
AHM Zahirul Alam International Islamic University Malaysia https://orcid.org/0000-0003-4259-2852
Khairul Izham Bin Kamal International Islamic University Malaysia

DOI:

https://doi.org/10.69955/ajoeee.2024.v4i1.55

Keywords:

Magnetic Levitation System, Modelling and Control, PID, Arduino IDE

Abstract

Magnetic Levitation Systems (MLS), or Maglev for short, utilise magnetic fields to levitate objects. They find applications in various scientific fields, particularly transportation, materials science, and biomedical engineering. Due to the diverse applications, different modelling and control approaches are necessary. The operation of each Maglev system depends on specific physical parameters. These key variables include the weight of the object being levitated, the current supplied to the system, the internal resistance and inductance of the electromagnet, and the distance between the object and the electromagnet. This research aims to understand the working principles of MLS. We will design and simulate a model based on real MLS hardware using MATLAB & Simulink. Additionally, we will create a functional Maglev prototype and program its control system using Arduino IDE and an Arduino microcontroller. MATLAB & Simulink offer a powerful tool for creating behavioral models for MLS. This model will then be integrated with Arduino programming to control the Maglev prototype.

Metrics

Metrics Loading ...

Downloads

Download data is not yet available.

References

A. Abbas et al., “Design and Control of Magnetic Levitation System,” 1st Int. Conf. Electr. Commun. Comput. Eng. ICECCE 2019, no. July, pp. 24–25, 2019. DOI: https://doi.org/10.1109/ICECCE47252.2019.8940711

S. M. R Rasid, M. B. Hossain, M. E. Hoque, M. A. A. Arif, and M. S. Ali Sarder, “Modeling and controlling a magnetic levitation system using an analogue controller,” Acta Electron. Malaysia, vol. 3, no. 2, pp. 41–44, 2019. DOI: https://doi.org/10.26480/aem.02.2019.41.44

P. Balko and D. Rosinova, “Modeling of magnetic levitation system,” Proc. 2017 21st Int. Conf. Process Control. PC 2017, pp. 252–257, 2017. DOI: https://doi.org/10.1109/PC.2017.7976222

J. de Jesús Rubio, L. Zhang, E. Lughofer, P. Cruz, A. Alsaedi, and T. Hayat, “Modeling and control with neural networks for a magnetic levitation system,” Neurocomputing, vol. 227, DOI: https://doi.org/10.1016/j.neucom.2016.09.101

pp. 113–121, 2017.

M. J. Khan, M. Junaid, S. Bilal, S. J. Siddiqi, and H. A. Khan, “Modelling, Simulation & Control of Non-Linear Magnetic Levitation System,” 2018. DOI: https://doi.org/10.1109/INMIC.2018.8595598

I. Ahmad, M. Shahzad, and P. Palensky, “Optimal PID control of Magnetic Levitation System using Genetic Algorithm,” Energycon 2014 - IEEE Int. Energy Conf., pp. 1429–1433, 2014. DOI: https://doi.org/10.1109/ENERGYCON.2014.6850610