Title :
The neural compensator for advance vehicle controller
Author :
Rodic, Aleksandar ; Katic, Dusko ; Vukobratovic, Miomir
Author_Institution :
Robotics Lab., Mihajlo Pupin Inst., Belgrade, Serbia
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 inaccuracies. This neural compensator is a part of integrated active control algorithm based on the centralized dynamic control strategy and full vehicle model. The fast convergence of learning process is achieved using standard back propagation method. The validity and effectiveness of the proposed method based on adaptive capability of neural compensator for a four wheel steering system have been demonstrated by simulation experiments.
Keywords :
adaptive control; backpropagation; compensation; neurocontrollers; road vehicles; robust control; transport control; uncertain systems; 4-wheel control system; ADIVEC-4WCS; advanced integrated vehicle controller; automatic system guidance; centralized dynamic control strategy; control system robustness; controller adaptability; four wheel steering system; full vehicle model; integrated active control algorithm; learning process convergence; model inaccuracies; neural compensator; neuro-compensator; standard back propagation method; standard backpropagation method; system uncertainties; Automatic control; Centralized control; Control system synthesis; Control systems; Convergence; Intelligent vehicles; Navigation; Robust control; Uncertainty; Vehicle dynamics;
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2002. NEUREL '02. 2002 6th Seminar on
Print_ISBN :
0-7803-7593-9
DOI :
10.1109/NEUREL.2002.1057976