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 …
rare element-free structure, lower maintenance requirement, and cost-effective production …
Current and speed sensor fault diagnosis method applied to induction motor drive
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 …
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
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 …
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 …
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
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 …
the frequency required in the control scheme of a standalone wind energy conversion …
Sparsity-aware complex-valued least mean kurtosis algorithms
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 …
have recently become popular as workhorse tools in the processing of complex-valued …
Encoderless predictive speed and torque control of an induction motor
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 …
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
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 …
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 …
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 …
which uses adaptive filtering algorithms, called the least mean squares (LMS) and least …