Zerdali, EmrahBarut, Murat2024-11-072024-11-072013978-147990681-9https://doi.org/10.1109/SLED-PRECEDE.2013.6684500https://hdl.handle.net/11480/109872013 IEEE International Symposium on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics, SLED/PRECEDE 2013 -- 17 October 2013 through 19 October 2013 -- Munich -- 102416In 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. © 2013 IEEE.eninfo:eu-repo/semantics/closedAccessdifferential evolution algorithmfuzzy logic controllerinduction machinemodel reference adaptive systemsensorless controlConference Object10.1109/SLED-PRECEDE.2013.66845002-s2.0-84894461935N/A