Control Performance of Damping and Air Spring of Heavy Truck Air Suspension System with Optimal Fuzzy Control
Journal Article
10-04-02-0013
ISSN: 2380-2162, e-ISSN: 2380-2170
Sector:
Topic:
Citation:
Nguyen, V., Jiao, R., and Zhang, J., "Control Performance of Damping and Air Spring of Heavy Truck Air Suspension System with Optimal Fuzzy Control," SAE Int. J. Veh. Dyn., Stab., and NVH 4(2):179-194, 2020, https://doi.org/10.4271/10-04-02-0013.
Language:
English
Abstract:
The air suspension system of heavy trucks not only improves the vehicle’s ride
comfort but also reduces the negative impact on the road surface. In order to
evaluate the performance of the control damping (CD) and the control air spring
(CAS) of the vehicle air suspension system on the ride comfort and the road
friendliness, a three-dimensional (3D) nonlinear dynamic model with 14 degrees
of freedom (DOF) of the heavy trucks and optimal fuzzy control (OFC) with
control rules optimized by the genetic algorithm (GA) are proposed in this
study. The root mean square (RMS) acceleration response of the tractor and the
dynamic load coefficient (DLC) at the wheel axles are chosen as objective
functions under the various operating conditions. Contrastive analysis of the
RMS and DLC values with the passive (P), CD, and CAS methods of the air
suspension system is carried out respectively. The research result shows that
both the CD and CAS methods remarkably improve the ride comfort and road
friendliness of the heavy trucks in comparison with P, especially the CAS method
has an obvious effect on mitigating the road damage in comparison with the CD
method; conversely the CD method is better than the CAS method to improve the
tractor’s ride comfort under different operating conditions.