Real-Time Speed Estimation for an Induction Motor: An Automated Tuning of an Extended Kalman Filter Using Voltage–Current Sensors

Real-Time Speed Estimation for an Induction Motor: An Automated Tuning of an Extended Kalman Filter Using Voltage–Current Sensors

This paper aims at achieving real-time optimal speed estimation for an induction motor using the Extended Kalman filter (EKF). Speed estimation is essential for fault diagnosis in Motor Current Signature Analysis (MCSA). The estimation accuracy is obtained by exploring the noise covariance matrices...

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Bibliographic Details
Main Authors: Ines Miloud, Sebastien Cauet, Erik Etien, Jack P. Salameh, Alexandre Ungerer
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
Kalman filter
noise covariance matrix
subspace model identification
induction motor
Online Access:https://www.mdpi.com/1424-8220/24/6/1744

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https://www.mdpi.com/1424-8220/24/6/1744

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