Zerdali, EmrahBarut, Murat2019-08-012019-08-012013978-1-4799-0680-2https://hdl.handle.net/11480/4444IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE) -- OCT 17-19, 2013 -- Munich, GERMANYIn this paper, rotor flux-oriented model reference adaptive system (RF-MRAS) based estimators are designed to obtain flux and speed estimations for speed-sensorless control of induction motors (IMs). The proposed RF-MRAS in this work replaces Conventional PI controller (CPI) in adaptation mechanism of RF-MRAS with fuzzy-PI (FPI) controller in order to improve conventional RF-MRAS. Additionally, the gains of both FPI and CPI controllers are optimized by offline via differential evolution algorithm (DEA) to make fair comparisons and without using time-consuming process of trial-and-error method.eninfo:eu-repo/semantics/closedAccessinduction machinesensorless controlmodel reference adaptive systemfuzzy logic controllerdifferential evolution algorithmConference ObjectWOS:000330766800026N/A