Neural fuzzy control of driving wheels for electric vehicle

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.