JOURNAL ARTICLE

Parameter estimation of the induction motor using extended Kalman filter for wide range speed control

Abstract

This paper is focused on parameter estimation of an induction motor using extended Kalman filter (EKF). Large variations of stator resistance along with the load torque changes are considered and the EKF is utilized for estimating the motor state and time varying stator resistance. The direct torque control (DTC) algorithm is employed to achieve sensorless speed control in a wide range. The main advantage of this research is considering the sharp variations in the stator resistance to confirm the robustness of the proposed scheme. The proposed algorithm is implemented in MATLAB and different scenarios are simulated. The results confirm the capability of the proposed technique for speed control of the induction motor in a wide range.

Keywords:
Extended Kalman filter Control theory (sociology) Stator Robustness (evolution) Induction motor Kalman filter Direct torque control Torque Computer science MATLAB Vector control Electronic speed control Engineering Control engineering Control (management) Artificial intelligence Physics

Metrics

14
Cited By
0.50
FWCI (Field Weighted Citation Impact)
20
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Sensorless Control of Electric Motors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Electric Motor Design and Analysis
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Magnetic Bearings and Levitation Dynamics
Physical Sciences →  Engineering →  Control and Systems Engineering

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