@inproceedings{54a293520d8e46dc8f8f56244411786e,
title = "A novel method for modeling and simulation of brushless DC motor with Kalman filter",
abstract = "Based on the mathematical model of the Brushless DC motor (BLDCM), a novel method of modeling and simulation for the speed control system of BLDCM with Kalman Filter is presented. In MATLAB/Simulink, the isolated functional blocks combine with the S-functions; and the model of BLDCM is established. Based on the discrete-state-space model, the recurrence formula for Kalman Filter is deduced, its block is established also. The speed feedback of BLDCM is filtered by Kalman Filter, and the PI speed controller is used. The reasonability and validity are testified by the coincidence of the simulation results and theoretical analysis. The results of experiment verified that the state space formula is correct; the correction matrix for Kalman Filter and the relevant coefficient are reasonable; and the effect of the filter is excellent. The novel method in this paper is also suitable for verifying the reasonability of other control algorithms, it offers a new thinking for designing and debugging actual motors.",
keywords = "Brushless DC Motor, Kalman Filter, MATLAB/Simulink, Modeling, Simulation",
author = "Yong Zhou and Jiang, {Hong Kai} and Zhou, {Qi Xun} and Zhang, {Qing Jiang}",
year = "2012",
doi = "10.1007/978-3-642-29458-7_46",
language = "英语",
isbn = "9783642294570",
series = "Advances in Intelligent and Soft Computing",
pages = "305--314",
booktitle = "Advanced Technology in Teaching - Selected Papers from the 2012 International Conference on Teaching and Computational Science, ICTCS 2012",
note = "2012 International Conference on Teaching and Computational Science, ICTCS 2012 ; Conference date: 01-04-2012 Through 02-04-2012",
}