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[HTML][HTML] Three phase induction motor drive: a systematic review on dynamic modeling, parameter estimation, and control schemes
An induction motor is generally used in industrial applications because it is reliable, robust,
and low cost. Reliability is one of the essential parameters based on which the motor is …
and low cost. Reliability is one of the essential parameters based on which the motor is …
Novel version of bi input-extended Kalman filter for speed-sensorless control of induction motors with estimations of rotor and stator resistances, load torque, and …
This study aims to develop a novel version of bi input-extended Kalman filter (BI-EKF)-based
estimation technique in order to increase the number of state and parameter estimations …
estimation technique in order to increase the number of state and parameter estimations …
MRAS-based sensorless speed backstep** control for induction machine, using a flux sliding mode observer
In this paper, an induction machine rotor speed and rotor flux control using a sensorless
backstep** control scheme is discussed. The most interesting point of this technique is …
backstep** control scheme is discussed. The most interesting point of this technique is …
A GA-based adaptive mechanism for sensorless vector control of induction motor drives for urban electric vehicles
Induction motors are more attractive to car manufacturers because they are more robust and
more cost effective to maintain in comparison with other types of electric machines. The …
more cost effective to maintain in comparison with other types of electric machines. The …
Robust sensorless predictive control of induction motors with sliding mode voltage model observer
In this paper, a robust sliding mode prediction model is combined with a sliding mode
voltage model observer to achieve a sensorless predictive torque control method. In order to …
voltage model observer to achieve a sensorless predictive torque control method. In order to …
A novel NN based rotor flux MRAS to overcome low speed problems for rotor resistance estimation in vector controlled IM drives
V Arunachalam, H Srinivasan, A Muthuramalingam - Frontiers in Energy, 2016 - Springer
This paper presents a new neural network based model reference adaptive system (MRAS)
to solve low speed problems for estimating rotor resistance in vector control of induction …
to solve low speed problems for estimating rotor resistance in vector control of induction …
Optimal placement of PMUs using improved tabu search for complete observability and out-of-step prediction
This paper proposes an optimization method for the optimal placement of phasor
measurement units (PMUs) for the complete observability of power systems. The proposed …
measurement units (PMUs) for the complete observability of power systems. The proposed …
Performance analysis of ekf-based sensorless induction motor drive using fpga controller
SY Maddu, NR Bhasme - 2023 13th International Symposium …, 2023 - ieeexplore.ieee.org
Induction Motor (IM) is widely used in power and industrial drives due to their ease of
construction, ruggedness, and free maintenance. To achieve higher performance and robust …
construction, ruggedness, and free maintenance. To achieve higher performance and robust …
Hybrid PLM and ADRC Control for Sensorless Induction Motor Drive with Nine-Level Converter Employing SVPWM
A Oukassi, Z Boulghasoul… - Contemporary Mathematics, 2024 - ojs.wiserpub.com
This paper outlines the design of a predictive controller combined with an active disturbance
rejection control (ADRC)-type controller to enhance the dynamic performance of the …
rejection control (ADRC)-type controller to enhance the dynamic performance of the …
Parameters estimation of IM with the Extended Kalman filter and least-squares
HY Li, Q Wang, F **e, C Hu… - 2015 IEEE 10th …, 2015 - ieeexplore.ieee.org
In the AC drive system, the control performance is highly dependent on the accuracy of the
electromagnetic parameters. In order to reduce the influences of the parameter variations, a …
electromagnetic parameters. In order to reduce the influences of the parameter variations, a …