Browsing Bildiri Koleksiyonu by Author "Barut M."
Now showing items 1-6 of 6
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Adaptive Fading Extended Kalman Filter Based Speed-Sensorless Induction Motor Drive
Zerdali E.; Yildiz R.; Inan R.; Demir R.; Barut M. (Institute of Electrical and Electronics Engineers Inc., 2018)This paper presents an adaptive fading extended Kalman filter (AFEKF) based speed-sensorless induction motor (IM) drive. Conventional extended Kalman filters (CEKFs) assume the system (Q) and the measurement (R) noise ... -
Bi input-extended Kalman filter based speed-sensorless direct torque control of IMs
This study presents bi input-extended Kalman filter (BI-EKF) based speed-sensorless direct torque control (DTC) of induction motors (IMs). For this aim, all states required for the speed-sensorless control system as well ... -
Deep neural network training with iPSO algorithm [IPSO algoritmasi ile derin sinir agi egitimi]
Kosten M.M.; Barut M.; Acir N. (Institute of Electrical and Electronics Engineers Inc., 2018)Deep learning-based methods are frequently preferred in many areas in recent years. Another issue, which is as important as deep neural networks applications, is the training of deep neural networks. Although many techniques ... -
FPGA implementation of extended Kalman filter for speed-sensorless control of induction motors
Inan R.; Barut M.; Karakaya F. (Institution of Engineering and Technology, 2014)This paper presents a hardware in the loop (HIL) system including the implementation of an Extended Kalman Filter (EKF) based estimator on the Field Programmable Gate Array (FPGA) for speed-sensorless control of IM. The ... -
FPGA implementation of extended Kalman Filter for speedsensorless control of induction motors
Inan R.; Barut M.; Karakaya F. (Institution of Engineering and Technology, 2014)This paper presents a hardware in the loop (HIL) system including the implementation of an Extended Kalman Filter (EKF) based estimator on the Field Programmable Gate Array (FPGA) for speed-sensorless control of IM. The ... -
Optimization of model reference adaptive system based speed estimation for speed sensorless control of induction motors via differential evolution algorithm
Barut M.; Yalcin M.; Zerdali E.; Demir R. (IFAC Secretariat, 2013)This 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) ...
