Title :
Identification and control of four-wheel-steering vehicles based on neural network
Author :
Qiang, Lu ; Huiyi, Wang ; Konghui, Guo
Author_Institution :
Armoured Force Eng. Inst., China
Abstract :
Vehicle dynamics are influenced by various nonlinear factors, such as tire characteristics, road conditions, etc. Hence, it is difficult to represent the vehicle dynamics by means of a two-degrees-of-freedom linear model perfectly. This paper presents a new four-wheel-steering (4WS) control system with a neural network that has the abilities of nonlinear modeling and control. A vehicle model of the RBF network is identified from the vehicle dynamics firstly. Next, the authors design a radial basis function (RBF) network controller with this vehicle model of the RBF network. The effectiveness of the proposed method is demonstrated with computer simulations
Keywords :
control system analysis computing; control system synthesis; identification; motion control; neurocontrollers; nonlinear control systems; radial basis function networks; road traffic; road vehicles; traffic control; traffic engineering computing; computer simulation; control system; four-wheel-steering vehicles; neural network; nonlinear control; nonlinear modeling; radial basis function network; road conditions; tyre characteristics; vehicle dynamics; Automotive engineering; Control system synthesis; Mathematical model; Mathematics; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Road vehicles; Tires; Vehicle dynamics;
Conference_Titel :
Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
Conference_Location :
Changchun
Print_ISBN :
0-7803-5296-3
DOI :
10.1109/IVEC.1999.830677
