Barut M.Yalcin M.Zerdali E.Demir R.2019-08-012019-08-0120139.7839E+121474-6670https://dx.doi.org/10.3182/20130703-3-FR-4038.00115https://hdl.handle.net/11480/844Committee on Adaptive and Learning Systems;Control (IFAC) - TC1.2: Technical;International Federation of Automatic;Signal Processing;TC 1.1: Modelling, Identification and;TC 2.1: Control Design11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2013 -- 3 July 2013 through 5 July 2013 -- Caen -- 99962This study proposes an optimally tuned Model Reference Adaptive System (MRAS) based speed estimator using back electromotive force (EMF) vector, which does not require pure integration. The PI (Proportional and Integral) gain coefficients in the speed estimator are optimally determined by utilizing Differential Evolution (DE) algorithm. The performance of the speed estimator is tested with both simulation and real-time experiments for a wide speed range. The obtained results verify the desired performance of speed estimation. © IFAC.eninfo:eu-repo/semantics/closedAccessConference Object4611 PART273210.3182/20130703-3-FR-4038.001152-s2.0-84885832100N/A