Abstract
A sensorless driving method of brushless DC motors (BLDCM) using neural networks has been studied in this paper. Considering the nonlinear characteristics and the parameter error of the modeling, neural networks are introduced to estimate the electromotive force (EMF). The results of simulation and experiment using offline trained neural networks show that the proposed method is useful. In addition, the robustness about the parameters is discussed.
Original language | English |
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Pages (from-to) | 64-71 |
Number of pages | 8 |
Journal | Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi) |
Volume | 162 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2008 Mar 1 |
Keywords
- Brushless DC motor
- Neural network
- Position sensorless
- Vector control
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering