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Efficiency Optimization of Induction Motors Based on Kalman Filter Method

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 126))

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Abstract

In this paper, first, the problems of tradition efficiency optimization method were analyzed, which was nonlinear and variable parameters of induction motors. Second, efficiency optimization of induction motors based on Kalman filter method was given, which combined Kalman filter and loss minimization control. Last, the method was proved feasible by simulation experiments.

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References

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Authors and Affiliations

  1. School of Electrical and Automation, Tianjin University of Technology, Tianjin, China

    Peng Chen, Ying Zhao & Jiageng Han

  2. School of Information and Electronic Engineering, Tianjin Vocational Institute, Tianjin, China

    Xin Li

Authors
  1. Peng Chen
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  2. Xin Li
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  3. Ying Zhao
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  4. Jiageng Han
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Corresponding author

Correspondence to Peng Chen .

Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Chen, P., Li, X., Zhao, Y., Han, J. (2012). Efficiency Optimization of Induction Motors Based on Kalman Filter Method. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25766-7_61

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  • DOI: https://doi.org/10.1007/978-3-642-25766-7_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25765-0

  • Online ISBN: 978-3-642-25766-7

  • eBook Packages: EngineeringEngineering (R0)

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