Speed-sensorless predictive torque controlled induction motor drive with feed-forward control of load torque for electric vehicle applications

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dc.authoridZerdali, Emrah/0000-0003-1755-0327
dc.authoridDemir, Ridvan/0000-0001-6509-9169
dc.contributor.authorZerdali, Emrah
dc.contributor.authorDemir, Ridvan
dc.date.accessioned2024-11-07T13:24:46Z
dc.date.available2024-11-07T13:24:46Z
dc.date.issued2021
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractNowadays, the global trend is towards reducing CO2 emissions and one solution is to replace internal combustion vehicles with electric vehicles. To this end, electric drive system, the most crucial part of an electric vehicle, has gained importance and has become a major research field. The induction motor (IM) is one of the best candidates for electric vehicle applications due to its advantages such as having simple and robust design, its low cost maintenance requirements and the ability to operate in harsh environments. However, it has a highly nonlinear model with timevarying electrical and mechanical parameters making them difficult to control. Finite control set-predictive torque control (FCS-PTC) is an inherently suitable and a promising control method for the IM because FCS-PTC is easy to implement and has the ability to handle nonlinearities with the inclusion of constraints. In addition, the elimination of speed sensors increases the reliability of electric motor drives while reducing cost and hardware complexity. In this paper, a speed-sensorless FCS-PTC based IM drive system is designed in order to combine the aforementioned advantages. Unlike the current literature, to improve the torque response of conventional FCS-PTC, the load torque is also estimated by an adaptive fading extended Kalman filter and is fed back into the torque control loop. The results show that improved control performance is achieved.
dc.identifier.doi10.3906/elk-2005-75
dc.identifier.endpage240
dc.identifier.issn1300-0632
dc.identifier.issn1303-6203
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85101049023
dc.identifier.scopusqualityQ3
dc.identifier.startpage223
dc.identifier.trdizinid514161
dc.identifier.urihttps://doi.org/10.3906/elk-2005-75
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/514161
dc.identifier.urihttps://hdl.handle.net/11480/14312
dc.identifier.volume29
dc.identifier.wosWOS:000614438700002
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherTubitak Scientific & Technological Research Council Turkey
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectInduction motor
dc.subjectmodel predictive control
dc.subjectspeed-sensorless control
dc.subjectnonlinear Kalman filtering
dc.titleSpeed-sensorless predictive torque controlled induction motor drive with feed-forward control of load torque for electric vehicle applications
dc.typeArticle

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