Position based iterative learning control to minimize torque ripple for PMSMs

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

    Abstract

    Torque ripple minimisation is achieved by an adaptive feedforward control for mass produced permanent magnet synchronous motors. Torque ripple, a major problem for such motors can be reduced using appropriate estimation scheme from speed information. The proposed method employs online zero phase filtering which can effectively minimise all torque harmonics at low speed operation. Experimental results validate the proposed scheme reducing the torque ripple factor from 6.87% to 1.28% using the proposed method. The adaptation scheme make use of PD type iterative learning control scheme which has the advantage of fast convergence compared to the more commonly used P type iterative learning control. The PD-ILC scheme is also quite robust to an initial error in the estimation of the parameter J.

    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
    Pages4727-4732
    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

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