Title :
Neural fuzzy control of driving wheels for electric vehicle
Author :
Houacine, Karima ; Mellah, Rabah ; Guermah, S. ; Charif, Mohamed
Author_Institution :
Lab. de Conception et Conduite des Syst. de Production, Univ. Mouloud Mammeri de Tizi-Ouzou, Tizi-Ouzou, Algeria
Abstract :
This paper presents the indirect field oriented control with neural fuzzy controller applied to driving wheels for electric vehicle. The proposed traction system consists of two induction motors that ensure the drive of the two back driving wheels. The controller to be designed is based on control structure-called independent machines for speed control that allow the achievement of an electronic differential system. This system ensures the robust control of the vehicle behavior on the road. It also allows controlling, independently, each driving wheel to turn at different speeds in any curve. The performance of the proposed control is illustrated with several simulation results using SIMULINK package in MATLAB.
Keywords :
electric vehicles; fuzzy control; induction motors; neurocontrollers; road vehicles; robust control; velocity control; MATLAB; SIMULINK package; back driving wheels; control structure-called independent machines; driving wheels; electric vehicle; electronic differential system; indirect field oriented control; induction motors; neural fuzzy controller; robust control; speed control; traction system; Electric vehicles; Induction motors; Roads; Torque; Traction motors; Wheels; Driving wheels; Electric vehicle; Electronic differential; Fuzzy neural control; Induction motor;
Conference_Titel :
Systems and Control (ICSC), 2013 3rd International Conference on
Conference_Location :
Algiers
Print_ISBN :
978-1-4799-0273-6
DOI :
10.1109/ICoSC.2013.6750830