An electronic differential system using fuzzy logic speed controlled in-wheel 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

Firstpage

881

Lastpage

885

Abstract

Environmental issues and running out of fossil fuels has increased the interest in electric vehicles (EV). In this paper, an EV with independent rear two-wheel drive systems is presented. Two brushless DC motors (BLDCMs) with fuzzy logic speed controller (FLSC) were used in rear wheels. Ackermann-Jeantaud steering model was employed for electronic differential (ED) system. The proposed method was simulated using Matlab/Simulink. Simulations were carried out on straight and curved roads. Simulation results show that proposed ED system operates satisfactorily.

Keywords

angular velocity control; brushless DC motors; electric vehicles; fuzzy control; machine control; steering systems; wheels; Ackermann-Jeantaud steering model; BLDCMs; ED system; EV; FLSC; Matlab-Simulink simulation; curved roads; electric vehicles; electronic differential system; fossil fuels; fuzzy logic speed controlled in-wheel brushless DC motors; independent rear two-wheel drive systems; straight roads; Brushless DC motors; Electric vehicles; Fuzzy logic; Wheels; brushless motors; electric vehicles; electronic differential; fuzzy logic; speeed control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on

Conference_Location

Istanbul

ISSN

2155-5516

Type

conf

DOI

10.1109/PowerEng.2013.6635726

Filename

6635726