Comparison of Extended-Kalman- and Particle-Filter-Based Sensorless Speed Control

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dc.authoridAydogmus, Omur/0000-0001-8142-1146
dc.authoridTalu, Muhammed Fatih/0000-0003-1166-8404
dc.authorwosidAydogmus, Omur/V-9090-2018
dc.authorwosidTalu, Muhammed Fatih/W-2834-2017
dc.contributor.authorAydogmus, Omur
dc.contributor.authorTalu, Muhammed Fatih
dc.date.accessioned2024-08-04T20:35:42Z
dc.date.available2024-08-04T20:35:42Z
dc.date.issued2012
dc.departmentİnönü Üniversitesien_US
dc.description.abstractState estimation process is one of the major concerns for controlling and monitoring systems in industry which requires high-cost measurements or unmeasurable variables of nonlinear systems. These drawbacks can be highly eliminated by designing systems without using any kind of sensors. In this paper, sensorless speed control of a dc motor was performed by using extended Kalman filter (EKF) and particle filter (PF). The speed information is estimated by using armature current data measured from a dc motor which is controlled in various speed references with a closed-loop controller. Furthermore, a performance comparison of the EKF and the PF by taking into consideration their estimation errors under the same conditions was realized in a simulation environment. The comparison results showed that the estimation performance of the PF is more accurate but slower than the EKF. The quantitative values of accurateness and slowness are depended on the particle number of the PF. The obtained computation times of the PF having ten particles and the EKF are 180 and 15 mu s, respectively.en_US
dc.identifier.doi10.1109/TIM.2011.2164851
dc.identifier.endpage410en_US
dc.identifier.issn0018-9456
dc.identifier.issn1557-9662
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84855458405en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage402en_US
dc.identifier.urihttps://doi.org/10.1109/TIM.2011.2164851
dc.identifier.urihttps://hdl.handle.net/11616/95530
dc.identifier.volume61en_US
dc.identifier.wosWOS:000298888000012en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Transactions on Instrumentation and Measurementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDC motor drivesen_US
dc.subjectdc motorsen_US
dc.subjectKalman filters (KFs)en_US
dc.subjectparticle filters (PFs)en_US
dc.subjectsensorless controlen_US
dc.subjectstate estimationen_US
dc.titleComparison of Extended-Kalman- and Particle-Filter-Based Sensorless Speed Controlen_US
dc.typeArticleen_US

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