Number of the records: 1  

Challenges and Limits of Extended Kalman Filter based Sensorless Control of Permanent Magnet Synchronous Machine Drives

  1. 1.
    SYSNO ASEP0332548
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleChallenges and Limits of Extended Kalman Filter based Sensorless Control of Permanent Magnet Synchronous Machine Drives
    TitleVýzvy a omezení rozšířeného Kalmanova filtru pro odhad stavu indukčního motoru s permanentními magnety
    Author(s) Peroutka, Z. (CZ)
    Šmídl, Václav (UTIA-B) RID, ORCID
    Vošmik, D. (CZ)
    Source TitleProceedings of the 13th European Conference on Power Electronics and Applications. - Barcelona : IEEE, 2009 - ISBN 978-1-4244-4432-8
    Pagess. 1-11
    Number of pages11 s.
    Publication formwww - www
    Action13th European Conference on Power Electronics and Applications
    Event date08.09.2009-10.09.2009
    VEvent locationBarcelona
    CountryES - Spain
    Event typeWRD
    Languageeng - English
    CountryES - Spain
    KeywordsControl of Drive ; Estimation technique ; Sensorless control
    Subject RIVBC - Control Systems Theory
    R&D ProjectsGP102/08/P250 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationA sophisticated simulator of permanent magnet synchronous machine (PMSM) drive was developed and is used for research into model-based sensorless control strategies. In this paper, we focus on estimators based on the extended Kalman Filter (EKF). The limits and possible improvements of the EKF are investigated using the developed simulator and real data recorded on designed laboratory prototypes of PMSM drives. Theoretical results are verified by experiments made on two developed prototypes of PMSM drive of rated power of 10.7kW and 310W. Finally, this paper summarizes the major limits of EKF and proposes prospective ways for further research leading to reduction of these limits.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2010
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.