Title :
Truck suspension system optimization to improve ride comfort and road friendliness
Author :
Yikai Chen ; He, Jie ; Zhang, Weihua
Author_Institution :
Sch. of Transp., Southeast Univ., Nanjing, China
Abstract :
Truck suspension system could alleviate vertical vibration as well as pavement deterioration effectively. Multiple methods are employed to promote truck performance, such as the optimal passive damping method, semi-active control and active control. With the purpose of improving ride comfort and road friendliness simultaneously, semi-active suspension systems based on fuzzy control algorithm are investigated in this paper. At first, a ten-DOF whole vehicle dynamic model was developed based on Matlab/Simulink, proper passive air suspensions were chosen to replace the original rear leaf suspensions. As time lag between demanded and achieved damping force of semi-active dampers was considered, effects of the optimal passive damping method and semi-active fuzzy damping control were analyzed and compared. Simulation results indicate that the latter one is more effective in reducing vertical body acceleration and tire dynamic forces.
Keywords :
acceleration control; automotive components; damping; fuzzy control; road vehicles; suspensions (mechanical components); tyres; vehicle dynamics; vibration control; Matlab; Simulink; damping force; fuzzy control; optimal passive damping; passive air suspension; pavement deterioration; ride comfort; road friendliness; semiactive control; semiactive damper; semiactive suspension system; ten-DOF whole vehicle dynamic model; time lag; tire dynamic force; truck performance; truck suspension system optimization; vertical body acceleration; vertical vibration; Acceleration; Educational institutions; Mathematical model; Robustness; Suspensions; Fuzzy control; optimization; road damage; suspension; truck;
Conference_Titel :
Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-8100-2
Electronic_ISBN :
978-1-4244-8102-6
DOI :
10.1109/ICMET.2010.5598339