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Modelling and Identification of Magnetic Levitation Model CE 152/Revised

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Cybernetics and Algorithms in Intelligent Systems (CSOC2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 765))

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Abstract

Paper describes procedure of first principle modelling and experimental identification of Magnetic Levitation Model CE 152. Author optimized and simplified dynamical model to a minimum what is needed to characterize given system for the simulation and control design purposes. Only few experiments are needed to estimate the unknown parameters. Model quality is verified in the feedback control loop where the real and simulated data are compared.

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Acknowledgments

This research was supported by Institutional support of The Ministry of Education, Youth and Sports of the Czech Republic at FEI.

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Authors and Affiliations

  1. Department of Process Control, Faculty of Electrical Engineering and Informatics, University of Pardubice, nám. Čs. legií 565, 532 10, Pardubice, Czech Republic

    Daniel Honc

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  1. Daniel Honc
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Correspondence to Daniel Honc .

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Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Honc, D. (2019). Modelling and Identification of Magnetic Levitation Model CE 152/Revised. In: Silhavy, R. (eds) Cybernetics and Algorithms in Intelligent Systems . CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 765. Springer, Cham. https://doi.org/10.1007/978-3-319-91192-2_4

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