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Sliding-Mode Observer Based Flux Estimation of Induction Motors

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Intelligent Robotics and Applications (ICIRA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7507))

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Abstract

This paper proposes a sliding-mode observer based rotor flux estimation scheme for induction motors. The sliding-mode observer is designed to track the stator currents and the control signals of the observer are used to estimate the rotor flux. The proposed rotor flux estimation scheme utilizes the stator currents, but does not need the stator voltage. It has significant advantages in practical applications, especially for sensorless Field Oriented Control (FOC) of induction motors. Some simulations are carried out to validate the proposed rotor flux estimation scheme.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Harbin Institute of Technology, China

    Yong Feng & Minghao Zhou

  2. School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, 3001, Australia

    Yong Feng & Xinghuo Yu

Authors
  1. Yong Feng
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  2. Minghao Zhou
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  3. Xinghuo Yu
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Industrial Engineering, Concordia University, H3G 1M8, Montreal, Quebec, Canada

    Chun-Yi Su

  2. Department of Mechanical and Industrial Engineering, Concordia University, H3G 1M8, Montral, Quebec, Canada

    Subhash Rakheja

  3. School of Creative Technologies, The University of Portsmouth, PO1 2DJ, Portsmouth, UK

    Honghai Liu

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© 2012 Springer-Verlag Berlin Heidelberg

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Feng, Y., Zhou, M., Yu, X. (2012). Sliding-Mode Observer Based Flux Estimation of Induction Motors. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33515-0_52

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  • DOI: https://doi.org/10.1007/978-3-642-33515-0_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33514-3

  • Online ISBN: 978-3-642-33515-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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