A fuzzy logic speed and current controller for Brushless DC Motors

Author

Kahveci, Hakan ; Okumus, Halil Ibrahim ; Ekici, Mehmet

Author_Institution

Dept. of Electr. & Electron. Eng., Karadeniz Tech. Univ., Trabzon, Turkey

fYear

2013

fDate

19-21 June 2013

Firstpage

1

Lastpage

5

Abstract

High efficiency, high torque density, and small size increase the popularity of Brushless DC Motors (BLDCMs). BLDCMs, because of their construction, have high nonlinearities. Therefore Fuzzy Logic Controllers(FLCs) were used to control the speed and current. Two closed loops were constructed. While the inner loop has a fuzzy logic current controller, the outer loop has a fuzzy logic speed controller. The proposed method was simulated using MATLAB/SIMULINK. The objective of this paper is to analyse FLCs for BLDCMs. The number of the rules was changed and comparisons were made. Also comparisons with single loop fuzzy logic and single loop PI speed controller has given.

Keywords

angular velocity control; brushless DC motors; closed loop systems; control engineering computing; electric current control; electric machine analysis computing; fuzzy control; machine control; mathematics computing; BLDCM; FLC; MATLAB-SIMULINK; brushless DC motors; closed loop construction; fuzzy logic current controller; fuzzy logic speed controller; Brushless DC motors; Fuzzy logic; Mathematical model; Sensors; Velocity control; Brushless DC Motor; current control; digital control; fuzzy logic; fuzzy rule numbers; speed control;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on

Conference_Location

Albena

Print_ISBN

978-1-4799-0659-8

Type

conf

DOI

10.1109/INISTA.2013.6577628

Filename

6577628