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Minimum Torque Ripple Algorithm with Fuzzy Logic Controller for DTC of PMSM

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Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues (ICIC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4681))

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Abstract

In this paper a fuzzy logic controller to minimize the torque ripples associated wit DTC (FL_DTC) of PMSM is presented. In this system, in order to attain the merits of fast torque response, the torque error, the flux error and stator flux position sector are used to select one active vector while the active switching time of this vector is selected as a result of the torque error magnitude and flux error magnitude fuzzification. The output of such fuzzy logic controller is used to adapt the inverter switching to follow the errors magnitude level. Arranging the inverter switching in this manner, results in fast torque response and minimum torque ripples as compared to the traditional HDTC. Additionally it results in less switching losses associated with SVMDTC. The simulated results show considerable torque ripple as well as current ripple reduction. The simulated results are supported with experimental results.

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Authors and Affiliations

  1. Yildiz Technical University Electrical - Electronics Faculty Electrical Engineering Department 34349 Besiktas- Istanbul, Turkey

    Ali Ahmed Adam, Kayhan Gulez & Nuh Erdogan

Authors
  1. Ali Ahmed Adam
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  2. Kayhan Gulez
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  3. Nuh Erdogan
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De-Shuang Huang Laurent Heutte Marco Loog

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© 2007 Springer Berlin Heidelberg

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Adam, A.A., Gulez, K., Erdogan, N. (2007). Minimum Torque Ripple Algorithm with Fuzzy Logic Controller for DTC of PMSM. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_51

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  • DOI: https://doi.org/10.1007/978-3-540-74171-8_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74170-1

  • Online ISBN: 978-3-540-74171-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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