Design and implementation of hybrid adaptive extended Kalman filter for state estimation of induction motor

G Özkurt, E Zerdali - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Today, induction motor (IM) is still the most popular electrical machine due to its robust and
rare element-free structure, lower maintenance requirement, and cost-effective production …

Current and speed sensor fault diagnosis method applied to induction motor drive

CD Tran, P Palacky, M Kuchar, P Brandstetter… - IEEE …, 2021 - ieeexplore.ieee.org
The paper proposes a novel approach based on a current space vector derived from
measured stator currents to diagnose speed and current sensor failures in the field-oriented …

Speed-sensorless predictive torque controlled induction motor drive withfeed-forward control of load torque for electric vehicle applications

E Zerdali, R Demir - Turkish Journal of Electrical Engineering …, 2021 - journals.tubitak.gov.tr
Nowadays, the global trend is towards reducing CO2 emissions and one solution is to
replace internal combustion vehicles with electric vehicles. To this end, electric drive system …

Design of model-free speed regulation system for permanent magnet synchronous linear motor based on adaptive observer

Z Li, Z Zhang, S Feng, J Wang, X Guo, H Sun - IEEE Access, 2022 - ieeexplore.ieee.org
To simplify the system structure of permanent magnet synchronous linear motor (PMSLM),
optimize the kinematic performance of the control system, and further improve the speed …

Artificial neural network and Kalman filter for estimation and control in standalone induction generator wind energy DC microgrid

AA Tanvir, A Merabet - Energies, 2020 - mdpi.com
This paper presents an improved estimation strategy for the rotor flux, the rotor speed and
the frequency required in the control scheme of a standalone wind energy conversion …

Sparsity-aware complex-valued least mean kurtosis algorithms

N Özince, EC Mengüç, A Emlek - Signal Processing, 2025 - Elsevier
Complex-valued least mean kurtosis (CLMK) algorithm and its augmented version (ACLMK)
have recently become popular as workhorse tools in the processing of complex-valued …

Encoderless predictive speed and torque control of an induction motor

E Zerdali, M Rivera, P Zanchetta… - … on Power Electronics …, 2023 - ieeexplore.ieee.org
Recently, model predictive control (MPC) has gained popularity in the control of power
converters and electric drives. In this paper, the advantages of two MPC strategies are …

Improved speed and load torque estimations with adaptive fading extended Kalman filter

E Zerdali, R Yildiz, R Inan, R Demir… - … on Electrical Energy …, 2021 - Wiley Online Library
Background Extended Kalman filter (EKF) is one of the most preferred observers for state
and parameter estimation of induction motor. To achieve optimal estimations, EKFs require a …

High-tracking-precision sensorless control of PMSM system based on fractional order model reference adaptation

H Niu, L Liu, D Jin, S Liu - Fractal and Fractional, 2022 - mdpi.com
In order to solve parameter fluctuations and disturbances, a novel fractional order model
reference adaptive speed observer that estimates the rotor position and the angular velocity …

Speed-sensorless predictive current controlled PMSM drive with adaptive filtering-based MRAS speed estimators

R Demir - International Journal of Control, Automation and …, 2023 - Springer
In this study, the stator currents-based model reference adaptive system (MRAS) estimators,
which uses adaptive filtering algorithms, called the least mean squares (LMS) and least …