Title :
The advanced vehicle control algorithm using neural networks
Author :
Rodic, Aleksandar ; Katic, Dusko ; Vukobratovic, Miomir
Author_Institution :
Robotics Laboratory, Mihajlo Pupin Institute P.O. Box 15, Volgina 15,11060 Belgrade, Serbia & M.N.
Abstract :
In this paper, a new concept of the advanced integrated vehicle controller with a 4-wheel control system (ADIVEC-4WCS), to provide an automatic system guidance, is presented. The supplementary neuro-compensator is proposed to ensure a control system robustness and better controller adaptability upon the system uncertainties and model innaccuracies. This neural compensator is a part of integrated active control algorithm based on the centralized dynamic control strategy and full vehicle model. The validity and effectiveness of the proposed method based on adaptive capaibility of neural compensator for a four wheel steering system have been demonstrated by simulation experiments.
Keywords :
Dynamics; Force; Road vehicles; Roads; Tires; Vehicle dynamics; Road vehicle; automatic guidance; neural networks;
Conference_Titel :
European Control Conference (ECC), 2003
Conference_Location :
Cambridge, UK
Print_ISBN :
978-3-9524173-7-9