Neuro-fuzzy Control For Four Wheels Electric Vehicle Safety

Résumé: This paper present novel approach for traction control of four wheel electric propulsion system for each wheel. This algorithm is necessary to improve the vehicle safety, the independent Machine Control philosophy is employed using an intelligent controller for torque and speed estimation, the proposed system replace the classical PI controller in order to improve vehicle dynamic performances. When the classical proposed control can't ensure the electric vehicle stability in several road topology situation's. The electronic differential system using adaptive fuzzy logic controller permit to vehicle to achieve intelligent driving. To show the efficiency of vehicle system control both of classical and intelligent controller are tested on Matlab Simulink environment ,the results obtained present satisfactory and show clearly the best response of the intelligent control during driving trajectory. The obtained data prove clearly that the worst performances of driving using PI comparing with adaptive fuzzy logic controller with no overshoot and no speed error and less estimated current ,and optimized autonomy.

Publié dans la revue: Rеvuе des Energies Renouvelables