Abstract
This paper describes model identification of an active magnetic levitation laboratory process. Magnetic levitation is a nonlinear, open-loop unstable and time-varying dynamical system whose modelling and control are difficult. Theoretical model takes into account set of parameters which are difficult to identify. The proposed approach assumes discrete-time form of the model the parameters of which are tuned using nonlinear optimisation methods. The obtained model is more accurate and can be directly used in model-based control algorithms. Results of real experiment are demonstrated for the INTECO MLS2EM laboratory set-up.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
1. Antić, D., Milovanović, M., Nikolić, S., Milojković, M., Perić, S.: Simulation model of magnetic levitation based on NARX neural networks. International Journal of Intelligent Systems and Applications 5, 25–32 (2013)
2. MLS2EMUSB2, Magnetic Levitation System Users Guide, INTECO Ltd. Kraków, 2015,
3. Kennedy, J., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann (2001)
4. Piłat, A.: Modelling, investigation, simulation, and PID current control of Active Magnetic Levitation FEM model, The 18th International Conference on Methods & Models in Automation & Robotics (MMAR), Miedzyzdroje, Poland, pp. 299–304 (2013)
5. Piłat, A.: Active magnetic levitation systems (in Polish), Pomiary Automatyka Robotyka 12, 146–149 (2011)
6. Piłat, A.: Testing performance and reliability of magnetic suspension controllers. IFAC Proceedings Volumes, vol. 42, issue 13, pp. 164-167 (2009)
7. Sinha, P.K.: Electromagnetic Suspension. Dynamics & Control. London, Peter Perginus Ltd. (1987)
8. Yu, W., Li, X.: A magnetic levitation system for advanced control education. IFAC Proceedings Volumes, vol. 47, issue 3, pp. 9032–9037 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Czerwiński, K., Ławryńczuk, M. (2017). Identification of Discrete-Time Model of Active Magnetic Levitation System. In: Mitkowski, W., Kacprzyk, J., Oprzędkiewicz, K., Skruch, P. (eds) Trends in Advanced Intelligent Control, Optimization and Automation. KKA 2017. Advances in Intelligent Systems and Computing, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-319-60699-6_58
Download citation
DOI: https://doi.org/10.1007/978-3-319-60699-6_58
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60698-9
Online ISBN: 978-3-319-60699-6
eBook Packages: EngineeringEngineering (R0)