<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

Data publikacji: 17 lis 2018

Zakres stron: 145 - 155

Otrzymano: 07 mar 2018

Przyjęty: 31 maj 2018

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

Słowa kluczowe
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

Data publikacji: 17 lis 2018

Zakres stron: 145 - 155

Otrzymano: 07 mar 2018

Przyjęty: 31 maj 2018

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

Słowa kluczoweextended 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.

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