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Licensed Unlicensed Requires Authentication Published by De Gruyter (O) January 10, 2024

On computation of Floquet-transformations and their applicability to controller synthesis for electrical machines

Berechnung von Floquet-Transformationen und ihre Anwedung zur Reglersynthese für elektrische Maschinen
  • Stefan Gering

    Stefan Gering received the DipIng. and Dr.-Ing. degree (Ph.D.) in electrical engineering and information technology from Technical University of Darmstadt, Germany, in 2012 and 2015, respectively. He joined the Robert Bosch GmbH as research engineer in 2015 for control of electric drive and micro electro mechanical systems. Dr. Gering's current research interest include model-predictive control, adaptive control, and machine learning methods.

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    and Maximilian Manderla

    Maximilian Manderla received the Diploma degree in mechanical engineering and the Dr.-Ing. degree (Ph.D.) in control systems engineering from the Technical University of Darmstadt, Germany, in 2007 and 2011, respectively. He studied mechanical engineering from the Technical University of Darmstadt and the University of California at Berkeley, USA. He was working with Voith Hydro, Heidenheim, Germany, from 2011 to 2015 with focus on hydroelectric power plant dynamics, simulation, and control. In 2015, he joined Bosch, Renningen, Germany, where he is currently active as a Project Manager in the field of control engineering with emphasis on electrical drives in automotive applications. His research interests include model-predictive and learning-based control.

Abstract

We consider the control of electric machines in the Floquet-frame. Its theoretical basis is known from literature, and was also applied in theory to the use case of rotating machines. In this article, we discuss practical aspects like computation of such transformation, we evaluate the potential of control thereby in simulation, and show the practical limitations of this concept by means of test bench results.

Zusammenfassung

Wir betrachten die Regelung elektrischer Maschinen in Floquet-Koordinaten. Deren theoretische Grundlagen sind aus der Literatur bekannt und wurden bereits in der Theorie auf Drehfeldmaschinen angewendet. In diesem Artikel diskutieren wir nun praktische Aspekte wie die Berechnung einer solchen Transformation. Wir bewerten das Potential einer Regelung, basierend darauf in Simulation, und zeigen die Nachteile des Konzepts in der Praxis anhand von Prüfstandsergebnissen.


Corresponding author: Stefan Gering, Chassis Systems Control, Robert Bosch GmbH, Robert-Bosch-Allee 1, 74232 Abstatt, Germany, E-mail:

About the authors

Stefan Gering

Stefan Gering received the DipIng. and Dr.-Ing. degree (Ph.D.) in electrical engineering and information technology from Technical University of Darmstadt, Germany, in 2012 and 2015, respectively. He joined the Robert Bosch GmbH as research engineer in 2015 for control of electric drive and micro electro mechanical systems. Dr. Gering's current research interest include model-predictive control, adaptive control, and machine learning methods.

Maximilian Manderla

Maximilian Manderla received the Diploma degree in mechanical engineering and the Dr.-Ing. degree (Ph.D.) in control systems engineering from the Technical University of Darmstadt, Germany, in 2007 and 2011, respectively. He studied mechanical engineering from the Technical University of Darmstadt and the University of California at Berkeley, USA. He was working with Voith Hydro, Heidenheim, Germany, from 2011 to 2015 with focus on hydroelectric power plant dynamics, simulation, and control. In 2015, he joined Bosch, Renningen, Germany, where he is currently active as a Project Manager in the field of control engineering with emphasis on electrical drives in automotive applications. His research interests include model-predictive and learning-based control.

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: None declared.

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2023-02-21
Accepted: 2023-09-18
Published Online: 2024-01-10
Published in Print: 2024-01-29

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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