EconPapers    
Economics at your fingertips  
 

Speed control of brushless DC motor by DC-DC boost and buck converters using GaN and SiC transistors for implementing the electric vehicles

Fatemeh Rahmani, David Quispe, Tanushree Agarwal and Mohammadreza Barzegaran

MPRA Paper from University Library of Munich, Germany

Abstract: Significant improvements of the DC-DC converters create the straightforward method to control the speed of the DC motor. One of the important DC motors is the Brushless DC motor which is utilized in various electrical fields. This paper focuses on the control at different speeds for a Brushless DC motor. In order to make the proper voltage to run the motor, two DC-DC converters (Boost and Buck) are tested using two different switches (GaN and SiC transistors). After making the Simulink model and connecting to dSPACE to send the suitable pulse to the transistor of the converter, the DC motor starts working by applying the DC voltage to the converter. This process includes modeling in MATLAB Simulink, dSPACE, and an experimental setup to run the DC motor. Furthermore, the performance of GaN and SiC switches in Boost and Buck converters are compared to each other in this project in terms of output parameters, efficiency, and providing the accurate speed for DC motor.

Keywords: Boost converter; Brushless DC motor; Buck converter; GaN transistor; SiC transistor. (search for similar items in EconPapers)
JEL-codes: Q16 Q55 R15 (search for similar items in EconPapers)
Date: 2020-05-11, Revised 2020-03-30
New Economics Papers: this item is included in nep-ene, nep-ore and nep-tre
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in Computational Research Progress in Applied Science & Engineering 02.06(2020): pp. 70-75

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/100461/1/MPRA_paper_100461.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:100461

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:100461