Sliding mode control and neuro-fuzzy network observer for induction motor in EVs applications

摘要: In order to deal with the major problems of electric vehicle (EV) propelled by an induction motor (IM), a neuro-fuzzy sliding mode control was designed. The proposed scheme uses adaptive observer that is based on full model IM in indirect vector-controlled drive. Moreover, it evaluated EV global taking into account dynamics, thermal effect and parameters variations. network used adaptively adjust prediction. However, can offer many good properties such as performance against unmodelled insensitivity external disturbance rejection fast dynamic. Simulations results carried out test vehicle, show controller superior PID one at response speed, steady-state tracking error resisting perturbation whenever driving or braking. This shows candidate for EV's propulsion.