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Sliding Mode Observer Based Anti-Windup PI Speed Controller for Permanent Magnet Synchronous Motors

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6839))

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Abstract

This paper proposes a new sliding mode observer (SMO) based anti-windup PI speed control strategy for Permanent Magnet Synchronous Motor (PMSM). A SMO is constructed to estimate the back-electromotive-force (EMF) signals robustly, and then the position and speed of a PMSM can be calculated according to the back-EMF equations. Based on the estimated position and speed of PMSM, four different anti-windup PI strategies are used and compared for speed control of PMSM, The simulation results show the superior control performance compared with conventional schemes.

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References

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Dalian Maritime University, 116026, Dalian, China

    Shuanghe Yu, Jialu Du & Jingcong Ma

  2. School of Electrical Engineering, Dalian University of Technology, 116024, Dalian, China

    Zhenqiang Yang

Authors
  1. Shuanghe Yu
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  2. Zhenqiang Yang
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  3. Jialu Du
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  4. Jingcong Ma
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District, 450002, Zhengzhou, Henan, China

    Yong Gan

  3. Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  4. Department of Biotechnology, Indian Institute of Technology Madras, 600 036, Chennai, Tamilnadu, India

    M. Michael Gromiha

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© 2012 Springer-Verlag Berlin Heidelberg

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Yu, S., Yang, Z., Du, J., Ma, J. (2012). Sliding Mode Observer Based Anti-Windup PI Speed Controller for Permanent Magnet Synchronous Motors. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_42

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  • DOI: https://doi.org/10.1007/978-3-642-25944-9_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25943-2

  • Online ISBN: 978-3-642-25944-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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