Fuzzy systems in permanent magnet motors description

dc.contributor.authorKabziński, Jacek
dc.date.accessioned2019-02-27T11:35:33Z
dc.date.available2019-02-27T11:35:33Z
dc.date.issued2007
dc.description.abstractSeveral artificial intelligence techniques for fuzzy modelling of flux distribution, electromagnetic and disturbance (friction, ripples) torques in permanent magnet rotational motors are proposed. Based on a model taking into account several nonlinear phenomena such as non-sinusoidal flux linkage, saturation effects etc observer-based parameter identifiers approach is used to plan identification experiments and to obtain the data. Next fuzzy models are applied to approximate the experimental data. Several training algorithms tuning the fuzzy model parameters and to simplifying the model structure are compared.en_EN
dc.identifier.citationKabziński J., Fuzzy systems in permanent magnet motors description. W: Power electronics and electrical drives : selected problems, Orłowska-Kowalska T. (red.), Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2007, s. 304-317, ISBN 978-83-7493-344-5.
dc.identifier.isbn978-83-7493-344-5
dc.identifier.otherid skryba-crisppl_PL
dc.identifier.urihttp://hdl.handle.net/11652/2089
dc.language.isoenen_EN
dc.publisherOficyna Wydawnicza Politechniki Wrocławskiejpl_PL
dc.relation.ispartofOrłowska-Kowalska T. (red.), Power electronics and electrical drives : selected problems, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 2007, ISBN 978-83-7493-344-5.
dc.subjectpermanent magnet motorsen_EN
dc.subjectfuzzy logicen_EN
dc.subjectsilniki z magnesami trwałymipl_PL
dc.subjectlogika rozmytapl_PL
dc.titleFuzzy systems in permanent magnet motors descriptionen_EN
dc.typeRozdział książkipl_PL
dc.typeChapter of the booken_EN

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