DocumentCode
3213023
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
fYear
2006
fDate
7-11 Aug. 2006
Firstpage
1714
Lastpage
1717
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2006. CCC 2006. Chinese
Conference_Location
Harbin
Print_ISBN
7-81077-802-1
Type
conf
DOI
10.1109/CHICC.2006.280829
Filename
4060386
Link To Document