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

Autor: Chojowski Maciej
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Power Electronics and Drives, Vol 3, Iss 1, Pp 145-155 (2018)
Druh dokumentu: article
ISSN: 2451-0262
2543-4292
DOI: 10.2478/pead-2018-0008
Popis: 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.
Databáze: Directory of Open Access Journals