Model Predictive Controlled IM Drive based on IT2FNN Controller

Basit Öğe Kaydı
dc.authoridGANI, Ahmet/0000-0002-6487-6066
dc.authoridYILDIZ, RECEP/0000-0002-8167-321X
dc.authoridDemir, Ridvan/0000-0001-6509-9169
dc.contributor.authorDemir, Ridvan
dc.contributor.authorYildiz, Recep
dc.contributor.authorGani, Ahmet
dc.date.accessioned2024-11-07T13:31:55Z
dc.date.available2024-11-07T13:31:55Z
dc.date.issued2023
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIn this paper, the predictive torque control (PTC) based induction motor (IM) drive using an interval type-2 fuzzy neural network (IT2FNN) controller in the speed control loop is designed and tested in simulations. The states required for the proposed motor drive are estimated by extended complex Kalman filter (ECKF). The ECKF performs online estimations of stator currents, rotor fluxes, rotor mechanical speed, and rotor resistance. Compared to conventional extended Kalman filter (EKF), which estimates the same states/parameters, the designed ECKF has less computational burden because it does not contain matrix inverse and the matrix dimensions have been reduced. In addition, the rotor resistance estimated by ECKF is updated online to the PTC system. Thus, the performance of the PTC-based IM drive is improved against variations in the rotor resistance, whose value changes with operating conditions such as frequency and temperature. In order to force both the ECKF observer and the proposed IM drive, a challenging scenario containing the wide speed range operation of the IM is designed. Simulation results confirm the performance of the proposed speed-sensorless PTC-based drive that uses an IT2FNN controller in the speed control loop and the estimation performance of the ECKF observer.
dc.description.sponsorshipKayseri University Scientific Research Projects Coordination Unit [FKB-2022-1082]
dc.description.sponsorshipThis work has been supported by Kayseri University Scientific Research Projects Coordination Unit under grant number FKB-2022-1082.
dc.identifier.doi10.2478/pead-2023-0024
dc.identifier.endpage379
dc.identifier.issn2451-0262
dc.identifier.issn2543-4292
dc.identifier.issue1
dc.identifier.startpage368
dc.identifier.urihttps://doi.org/10.2478/pead-2023-0024
dc.identifier.urihttps://hdl.handle.net/11480/15127
dc.identifier.volume8
dc.identifier.wosWOS:001111446400001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherSciendo
dc.relation.ispartofPower Electronics and Drives
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectinduction motor
dc.subjectextended complex Kalman filter
dc.subjectpredictive torque control
dc.subjectIT2FNN
dc.subjectspeed-sensorless motor drive
dc.titleModel Predictive Controlled IM Drive based on IT2FNN Controller
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu