Superposition techniques for analyzing cogging torque sensitivity to manufacturing errors in fractional pitch PMSM

Greg Heins, Mark Thiele

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

    Abstract

    Theoretically, the layout of fractional pitch permanent magnet motors should ensure the cancellation of most cogging torque harmonics. In reality, manufacturing errors lead to incomplete cancellation and higher than expected cogging torque. Two potential manufacturing errors are the variation in angle between successive magnets and the strength of the magnets. To determine the sensitivity of cogging torque to magnet strength and placement, a superposition technique is used. This technique is validated by first demonstrating that the total cogging torque can be reconstructed by summing offset versions of the torque from experimentally determined single-magnet/singleslot interactions. Following this validation, Monte Carlo simulations are conducted to statistically determine the sensitivity of cogging torque to magnet placement and strength errors. It is demonstrated that the mean RMS cogging torque increases by 4 % for every degree increase in magnet placement standard deviation and by 0.06% for every 1% increase in magnet strength standard deviation.
    Original languageEnglish
    Title of host publicationIECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
    Place of PublicationNew York, USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages2042-2047
    Number of pages6
    ISBN (Print)978-1-61284-972-0
    DOIs
    Publication statusPublished - 2011
    EventAnnual Conference of the IEEE Industrial Electronics Society (IECON 2011 37th) - Melbourne, Australia, Melbourne, VIC, Australia
    Duration: 7 Nov 201110 Nov 2011
    Conference number: 2011 (37th)

    Conference

    ConferenceAnnual Conference of the IEEE Industrial Electronics Society (IECON 2011 37th)
    Abbreviated titleIECON
    CountryAustralia
    CityMelbourne, VIC
    Period7/11/1110/11/11

    Fingerprint

    Magnets
    Torque
    Permanent magnets

    Cite this

    Heins, G., & Thiele, M. (2011). Superposition techniques for analyzing cogging torque sensitivity to manufacturing errors in fractional pitch PMSM. In IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society (pp. 2042-2047). New York, USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IECON.2011.6119622
    Heins, Greg ; Thiele, Mark. / Superposition techniques for analyzing cogging torque sensitivity to manufacturing errors in fractional pitch PMSM. IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society. New York, USA : IEEE, Institute of Electrical and Electronics Engineers, 2011. pp. 2042-2047
    @inproceedings{bac4b8dafb524f70a8b77c0b68bd9a9a,
    title = "Superposition techniques for analyzing cogging torque sensitivity to manufacturing errors in fractional pitch PMSM",
    abstract = "Theoretically, the layout of fractional pitch permanent magnet motors should ensure the cancellation of most cogging torque harmonics. In reality, manufacturing errors lead to incomplete cancellation and higher than expected cogging torque. Two potential manufacturing errors are the variation in angle between successive magnets and the strength of the magnets. To determine the sensitivity of cogging torque to magnet strength and placement, a superposition technique is used. This technique is validated by first demonstrating that the total cogging torque can be reconstructed by summing offset versions of the torque from experimentally determined single-magnet/singleslot interactions. Following this validation, Monte Carlo simulations are conducted to statistically determine the sensitivity of cogging torque to magnet placement and strength errors. It is demonstrated that the mean RMS cogging torque increases by 4 {\%} for every degree increase in magnet placement standard deviation and by 0.06{\%} for every 1{\%} increase in magnet strength standard deviation.",
    keywords = "Cogging torque, Manufacturing errors, Monte Carlo Simulation, Permanent magnet motor, Standard deviation, Superposition technique, AC motors, Computer simulation, Errors, Industrial electronics, Manufacture, Monte Carlo methods, Permanent magnets, Statistics, Torque",
    author = "Greg Heins and Mark Thiele",
    year = "2011",
    doi = "10.1109/IECON.2011.6119622",
    language = "English",
    isbn = "978-1-61284-972-0",
    pages = "2042--2047",
    booktitle = "IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
    address = "United States",

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    Heins, G & Thiele, M 2011, Superposition techniques for analyzing cogging torque sensitivity to manufacturing errors in fractional pitch PMSM. in IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society. IEEE, Institute of Electrical and Electronics Engineers, New York, USA, pp. 2042-2047, Annual Conference of the IEEE Industrial Electronics Society (IECON 2011 37th), Melbourne, VIC, Australia, 7/11/11. https://doi.org/10.1109/IECON.2011.6119622

    Superposition techniques for analyzing cogging torque sensitivity to manufacturing errors in fractional pitch PMSM. / Heins, Greg; Thiele, Mark.

    IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society. New York, USA : IEEE, Institute of Electrical and Electronics Engineers, 2011. p. 2042-2047.

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in ProceedingsResearchpeer-review

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    AU - Heins, Greg

    AU - Thiele, Mark

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    N2 - Theoretically, the layout of fractional pitch permanent magnet motors should ensure the cancellation of most cogging torque harmonics. In reality, manufacturing errors lead to incomplete cancellation and higher than expected cogging torque. Two potential manufacturing errors are the variation in angle between successive magnets and the strength of the magnets. To determine the sensitivity of cogging torque to magnet strength and placement, a superposition technique is used. This technique is validated by first demonstrating that the total cogging torque can be reconstructed by summing offset versions of the torque from experimentally determined single-magnet/singleslot interactions. Following this validation, Monte Carlo simulations are conducted to statistically determine the sensitivity of cogging torque to magnet placement and strength errors. It is demonstrated that the mean RMS cogging torque increases by 4 % for every degree increase in magnet placement standard deviation and by 0.06% for every 1% increase in magnet strength standard deviation.

    AB - Theoretically, the layout of fractional pitch permanent magnet motors should ensure the cancellation of most cogging torque harmonics. In reality, manufacturing errors lead to incomplete cancellation and higher than expected cogging torque. Two potential manufacturing errors are the variation in angle between successive magnets and the strength of the magnets. To determine the sensitivity of cogging torque to magnet strength and placement, a superposition technique is used. This technique is validated by first demonstrating that the total cogging torque can be reconstructed by summing offset versions of the torque from experimentally determined single-magnet/singleslot interactions. Following this validation, Monte Carlo simulations are conducted to statistically determine the sensitivity of cogging torque to magnet placement and strength errors. It is demonstrated that the mean RMS cogging torque increases by 4 % for every degree increase in magnet placement standard deviation and by 0.06% for every 1% increase in magnet strength standard deviation.

    KW - Cogging torque

    KW - Manufacturing errors

    KW - Monte Carlo Simulation

    KW - Permanent magnet motor

    KW - Standard deviation

    KW - Superposition technique

    KW - AC motors

    KW - Computer simulation

    KW - Errors

    KW - Industrial electronics

    KW - Manufacture

    KW - Monte Carlo methods

    KW - Permanent magnets

    KW - Statistics

    KW - Torque

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    Heins G, Thiele M. Superposition techniques for analyzing cogging torque sensitivity to manufacturing errors in fractional pitch PMSM. In IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society. New York, USA: IEEE, Institute of Electrical and Electronics Engineers. 2011. p. 2042-2047 https://doi.org/10.1109/IECON.2011.6119622