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Optimization of Voltage Model for MRAS Based Sensorless Control of Induction Motor

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AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application (AETA 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 554))

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Abstract

Omission of the speed sensor in induction motor based electric drive is very actual topic because of cost savings. When omitting the speed sensor, induction machine mathematical model that does not require information about rotor speed has to be used, such as voltage model. The quality of control then depends on the model stability and accuracy of induction motor parameter identification. This paper strives to discuss most important quantities that influence stability and accuracy of the voltage model.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 166 27, Prague, Czech Republic

    Ondrej Lipcak & Jan Bauer

Authors
  1. Ondrej Lipcak
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  2. Jan Bauer
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Corresponding author

Correspondence to Ondrej Lipcak .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Faculty of Electrical Engineering, VŠB-TUO, Ostrava-Poruba, Czech Republic

    Ivan Zelinka

  2. Department of Electronics, Faculty of Electrical Engineering, VŠB-TUO, Ostrava, Czech Republic

    Pavel Brandstetter

  3. International Cooperation, Research and Training Institute, Ton Duc Thang University, Ho Chi Minh, Vietnam

    Tran Trong Dao

  4. Department of Automatic Control, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Vo Hoang Duy

  5. Department of Mechanical Design Engineering, Pukyong National University, Busan, Korea (Republic of)

    Sang Bong Kim

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Lipcak, O., Bauer, J. (2020). Optimization of Voltage Model for MRAS Based Sensorless Control of Induction Motor. In: Zelinka, I., Brandstetter, P., Trong Dao, T., Hoang Duy, V., Kim, S. (eds) AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2018. Lecture Notes in Electrical Engineering, vol 554. Springer, Cham. https://doi.org/10.1007/978-3-030-14907-9_73

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  • DOI: https://doi.org/10.1007/978-3-030-14907-9_73

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14906-2

  • Online ISBN: 978-3-030-14907-9

  • eBook Packages: EngineeringEngineering (R0)

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