Artificial neural networks to control braking moments on wheels of an articulated vehicle

The paper presents an application of artificial neural networks to control braking moments on wheels of an articulated vehicle in a critical situation. The trajectory of the articulated vehicle was calculated for given braking moments by means of the 3D computational model. Dynamic optimization was performed in order to use appropriate values of braking moments for each wheel of the vehicle. Solutions of the optimization tasks for different inputs formed a set of optimal values. In the next step the set of optimal values was used for training an artificial neural network. Results of the calculations with the Nelder-Mead method and for the MLP and RBF neural networks are presented.