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Research on Rotor Flux Observer for Extended Complex Kalman Filter of Asynchronous Motor

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Book cover Proceedings of 2017 Chinese Intelligent Systems Conference (CISC 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 460))

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Abstract

In order to improve the observation accuracy of the rotor flux of the asynchronous motor, a flux observation method based on the extended complex Kalman filter is proposed and applied to the vector control of the asynchronous motor. The complex mathematical model of asynchronous motor is established by choosing the state variables appropriately. On this basis, a rotor flux observer based on the extended complex Kalman filter algorithm is designed to realize the accurate estimation of the rotor flux. The results show that the method can simplify the motor state equation effectively and reduce the order of the mathematical model of the asynchronous motor, it can also reduce the amount of calculation. Simulation results verify the effectiveness and feasibility of the proposed method.

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Author information

Authors and Affiliations

  1. School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, Beijing, China

    Yuedou Pan

  2. Key Laboratory of Advanced Control of Iron and Steel Process, (Ministry of Education) Beijing, 100083, Beijing, China

    Chengwei Wang & Jinghui Pan

  3. Department of Electrical Engineering, Tsinghua University, 100084, Beijing, China

    Zhengming Zhao

Authors
  1. Yuedou Pan
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  2. Chengwei Wang
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  3. Jinghui Pan
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  4. Zhengming Zhao
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Corresponding author

Correspondence to Yuedou Pan .

Editor information

Editors and Affiliations

  1. Beihang University , Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

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© 2018 Springer Nature Singapore Pte Ltd.

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Pan, Y., Wang, C., Pan, J., Zhao, Z. (2018). Research on Rotor Flux Observer for Extended Complex Kalman Filter of Asynchronous Motor. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2017 Chinese Intelligent Systems Conference. CISC 2017. Lecture Notes in Electrical Engineering, vol 460. Springer, Singapore. https://doi.org/10.1007/978-981-10-6499-9_29

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  • DOI: https://doi.org/10.1007/978-981-10-6499-9_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6498-2

  • Online ISBN: 978-981-10-6499-9

  • eBook Packages: EngineeringEngineering (R0)

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