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Advanced, Contemporary Control pp 424–435Cite as

Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1196))

Abstract

This paper deals with an analysis and design of Dual Extended Kalman Filters (DKFs) to estimate parameters and state variables in Permanent Magnet Synchronous Machines (PMSMs) to be utilized in a control structure. A dual estimation problem consists of a simultaneous estimation of states of the dynamical system and its parameters using only noisy output observations. In this paper, the limit of an Augmented and Extended Kalman Filter (AEKF) obtained through standard state augmentation to estimate parameters is shown and, alternatively, a DKF approach which is characterized by the use of the state model descriptions in the output of an AEKF is proposed. The two different approaches are analyzed and compared. These results are supported by simulations.

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Author information

Authors and Affiliations

  1. Rolls Royce, Maybachplatz 1, 88045, Friedrichshafen, Germany

    Tanja Zwerger

  2. Institute of Product and Process Innovation, Leuphana University of Lueneburg, Universitaetsallee 1, 21335, Lueneburg, Germany

    Paolo Mercorelli

Authors
  1. Tanja Zwerger
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  2. Paolo Mercorelli
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Corresponding author

Correspondence to Tanja Zwerger .

Editor information

Editors and Affiliations

  1. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Andrzej Bartoszewicz

  2. Institute of Automatic Control, Lodz University of Technology, Lodz, Poland

    Jacek Kabziński

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Zwerger, T., Mercorelli, P. (2020). Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds) Advanced, Contemporary Control. Advances in Intelligent Systems and Computing, vol 1196. Springer, Cham. https://doi.org/10.1007/978-3-030-50936-1_36

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