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Application of the Long-Horizon Predictive Control to the Drive System with Elastic Joint

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Advanced and Intelligent Control in Power Electronics and Drives

Part of the book series: Studies in Computational Intelligence ((SCI,volume 531))

Abstract

In the paper a robust Model Predictive Control structure for speed regulation of a drive system with an elastic transmission is proposed. A methodology for robust design based on suitable selection of the explicit form of MPC which enables the drive’s safety and physical limitations to be directly incorporated into control synthesis is presented. The simulation results show that the controller is very effective in regulating load speed for a wide-range of the changes of the load side inertia. The simulation studies are confirmed through a variety of experimental tests.

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Acknowledgements

This work has been founded by Polish National Science Centre under project UMO-2011/01/B/ST7/103500 (2011-2014).

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Authors and Affiliations

  1. Institute of Electrical Machines Drives and Measurments, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, Wrocław, Poland

    Krzysztof Szabat, Piotr Serkies & Teresa Orłowska-Kowalska

Authors
  1. Krzysztof Szabat
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  2. Piotr Serkies
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  3. Teresa Orłowska-Kowalska
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Corresponding author

Correspondence to Krzysztof Szabat .

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Editors and Affiliations

  1. Institute of Electrical Machines, Drives and Measurements, Wrocław University of Technology, Wrocław, Poland

    Teresa Orłowska-Kowalska

  2. Department of Energy Technology Power Electronic Systems, Aalborg University, Aalborg East, Denmark

    Frede Blaabjerg

  3. Department of Electronics Engineering, Universidad Técnica Federico Santa María, Valparaíso, Chile

    José Rodríguez

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Szabat, K., Serkies, P., Orłowska-Kowalska, T. (2014). Application of the Long-Horizon Predictive Control to the Drive System with Elastic Joint. In: Orłowska-Kowalska, T., Blaabjerg, F., Rodríguez, J. (eds) Advanced and Intelligent Control in Power Electronics and Drives. Studies in Computational Intelligence, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-319-03401-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-03401-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03400-3

  • Online ISBN: 978-3-319-03401-0

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