Title :
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
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;
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/PowerEng.2013.6635726