Demir, RıdvanYıldız, RecepBarut, Murat2024-11-072024-11-0720232564-6605https://doi.org/10.28948/ngmuh.1208031https://search.trdizin.gov.tr/tr/yayin/detay/1152670https://hdl.handle.net/11480/12513In this study, an induction motor (IM) drive based on speedsensorless predictive torque control (PTC) is designed to perform the high-performance control of the IMs by utilizing the least mean square (LMS) algorithm for the adaptation mechanism of the model reference adaptive system (MRAS). Here, the MRAS with LMS adaptation is based on the stator currents (?????? and ??????) of the IM. Moreover, the rotor fluxes (?????? and ??????) are obtained by the current model, which requires the rotor mechanical speed (????) along with ?????? and ??????. In contrast to the other MRAS based studies using proportional-integral (PI) in the adaptation mechanisms to estimate state or parameter, it is possible to determine the states and/or parameters as weight coefficients in the MRAS with LMS adaptation which are calculated and updated in each iteration. Here, ???? value is estimated and updated in each iteration as weight coefficient. Furthermore, the MRAS with LMS adaptation is compared to the MRAS using conventional PI in simulations. The simulation results clearly visualize both the estimation performance of stator current based MRAS using LMS adaptation and the effectiveness of the proposed PTC based IM drive.eninfo:eu-repo/semantics/openAccessMühendislikElektrik ve ElektronikBilgisayar BilimleriYazılım MühendisliğiBilgisayar BilimleriSibernitikBilgisayar BilimleriBilgi SistemleriBilgisayar BilimleriDonanım ve MimariBilgisayar BilimleriTeori ve MetotlarBilgisayar BilimleriYapay ZekaSpeed-sensorless IM controlPTCLMS algorithmMRASArticle12112613310.28948/ngmuh.12080311152670