Research on Variable Steer Ratio of Active Front Steering System with Fluctuating Velocity

Author(s):  
Jun Wang ◽  
Zhenhai Gao ◽  
Fangming Lou
2013 ◽  
Vol 13 (21) ◽  
pp. 4463-4469
Author(s):  
Shuo Zhang ◽  
Qiang Yu ◽  
Chenyu Zhou ◽  
Peilong Shi ◽  
Peipei Zhang

2013 ◽  
Vol 765-767 ◽  
pp. 1903-1907
Author(s):  
Jie Wei ◽  
Guo Biao Shi ◽  
Yi Lin

This paper proposes using BP neural network PID to improve the yaw stability of the vehicle with active front steering system. A dynamic model of vehicle with active front steering is built firstly, and then the BP neural network PID controller is designed in detail. The controller generates the suitable steering angle so that the vehicle follows the target value of the yaw rate. The simulation at different conditions is carried out based on the fore established model. The simulation results show the BP neural network PID controller can improve the vehicles yaw stability effectively.


2014 ◽  
Vol 554 ◽  
pp. 526-530 ◽  
Author(s):  
Liyana Ramli ◽  
Yahya M. Sam ◽  
Zaharuddin Mohamed ◽  
Muhamad Khairi Aripin ◽  
Muhamad Fahezal Ismail

Yaw stability control is the most popular topics in the automotive field. Several studies have been done in searching the effective method in controlling yaw moment. Hence, an integration of the active front steering system (AFS) with Composite Nonlinear Feedback controller is presented in this paper. Recently, this controller has been used by a lot of researchers in controlling their system performance due to its main advantage that can be seen in transient response which demonstrate super fast tracking. An optimal CNF feedback control problem is formulated as a parameter optimization problem with performance index and restrictions on stability. To handle such restrictions and constraint, the particle swarm optimization algorithm is applied to solve parameter optimization problems.


2014 ◽  
Vol 58 (1) ◽  
pp. 107-116 ◽  
Author(s):  
WanZhong Zhao ◽  
YiJun Li ◽  
ChunYan Wang

Sign in / Sign up

Export Citation Format

Share Document