HUO Chun bao1, CHENG Yan1, WANG Jing2 , WU Yu shang3, WANG Yan4

 

(1. Electric Engineering College, Liaoning University of Technology, Jinzhou 121001, China;

 

2. Liaoning province pover co., LTD, Jinzhou power supply company, Jinzhou 121001, China;

 

3. College of Engineering, Ocean Univerdsity of China, Qingdao 266100, China; 4. Beijing Institute

of Graphic Communication, Mechanical and Electrical Engineering College, Beijing 102600, China)

 

 

Abstract: Aiming at the vehicle steering by wire control with active steering , the control method and strategy of SBW were researched.Then the SBW model was built up. The genetic algorithm method can overcome the problems such as slow convergence speed and easy to fall into minimum points of the BP network,a SBW based on optimized BP network with genetic algorithm was advanced. The typical conditions are selected,the control method was verified by using Matlab/Simulink and Carsim co simulation. The results indicate that the control effect is good for vehicle active steering based on the optimized BP network with genetic algorithm, the actual yaw rate can recur the yaw rate preferably and the stability of vehicle is improved significantly.

 

Key words: vehicle;the vehicle active steering; the optimized network with genetic algorithm; the yaw rate; stability