<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The purpose of this paper was to present a method for the estimation of the rotor speed and position of brushless DC (BLDC) motor. The BLDC motor state equations were developed, and the model was discretised. Extended Kalman filter has been designed to observe specific states from the state vector, needed for the sensorless control (rotor position) and to determine the speed, which may be useful to use as a feedback for the controller. A test was carried out to determine the noise covariance matrices in a simulation manner.</p></abstract>

The purpose of this paper was to present a method for the estimation of the rotor speed and position of brushless DC (BLDC) motor. The BLDC motor state equations were developed, and the model was discretised. Extended Kalman filter has been designed to observe specific states from the state vector, needed for the sensorless control (rotor position) and to determine the speed, which may be useful to use as a feedback for the controller. A test was carried out to determine the noise covariance matrices in a simulation manner.

Simulation Analysis of Extended Kalman Filter Applied for Estimating Position and Speed of a Brushless DC Motor

Power Electronics and Drives

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The purpose of this paper was to present a method for the estimation of the rotor speed and position of brushless DC (BLDC) motor. The BLDC motor state...

Simulation Analysis of Extended Kalman Filter Applied for Estimating Position and Speed of a Brushless DC Motor

Article Category: Special Section on Sensorless Drives

Published Online: Nov 17, 2018

Page range: 145 - 155

Received: Mar 07, 2018

Accepted: May 31, 2018

DOI: https://doi.org/10.2478/pead-2018-0008

Keywords
extended Kalman filter, brushless DC motor, covariance matrix, sensorless control for BLDC

© 2018 Maciej Chojowski, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Simulation Analysis of Extended Kalman Filter Applied for Estimating Position and Speed of a Brushless DC Motor

Article Category: Special Section on Sensorless Drives

Published Online: Nov 17, 2018

Page range: 145 - 155

Received: Mar 07, 2018

Accepted: May 31, 2018

DOI: https://doi.org/10.2478/pead-2018-0008

Keywordsextended Kalman filter, brushless DC motor, covariance matrix, sensorless control for BLDC

© 2018 Maciej Chojowski, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
extended Kalman filter, brushless DC motor, covariance matrix, sensorless control for BLDC