Title :
Neural Network Control Approach of Vehicle Active Yaw Moment
Author :
Li Jianfeng ; Gao Li
Author_Institution :
Dept. of Traffic Eng., Beijing Inst. of Technol., China
Abstract :
A neural network controller was designed to generate additional yaw moment of the vehicle. This controller was expected to make the yaw rate tracking the desired trajectory. A yaw rate tracking control model has been developed based on two degree of freedom vehicle dynamic state equation. The proposed model was employed to calculate the yaw rate and slip angle response characteristics of a vehicle under severe cornering maneuver, and it shows the handling and stability is significantly improved as compared to the uncontrolled one. At last, the design of a semi-physical simulation experiment for further research is described.
Keywords :
neural nets; stability; vehicle dynamics; neural network controller; semiphysical simulation experiment; stability; vehicle active yaw moment; vehicle dynamic state equation; vehicle dynamical model; yaw rate tracking control model; Control system synthesis; Control systems; Equations; Neural networks; Nonlinear dynamical systems; Road vehicles; Vehicle dynamics; Vehicle safety; Weight control; Wheels; Neural network controller; Vehicle dynamical model; Yaw rate;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280829
