Handling Stability Optimization of Mining Dump Truck Based on Parameter Identification 2013-01-0702
Good handling stability becomes very important for heavily-laden electric wheel dump trucks that are operated on rough roads. To improve handling stability of mining dump trucks, nonlinear stiffness and nonlinear damping of the hydro-pneumatic suspension were considered as optimization variables.
In this paper, based on the Daubechies wavelet's compactness and regularization and least-square method, the nonlinear stiffness and damping are identified. In order to verify the results of the parameter identification, the multi-body system dynamic model of the truck was built in ADAMS/view. By comparing the simulated results and tested ones, we find acceleration-history and power spectral density of acceleration are very close. And then, based on the approximate model method, the optimization model was built in ISIGHT. The nitrogen column and the orifice diameter were defined as the design variables.
Finally, the handling stability was optimized by applying the genetic algorithms method. The results show that the truck handling stability was improved.
Citation: Wu, W. and Gu, Z., "Handling Stability Optimization of Mining Dump Truck Based on Parameter Identification," SAE Technical Paper 2013-01-0702, 2013, https://doi.org/10.4271/2013-01-0702. Download Citation
Author(s):
Wenguang Wu, Zhengqi Gu
Affiliated:
Hunan University
Pages: 7
Event:
SAE 2013 World Congress & Exhibition
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Optimization
Trucks
Mathematical models
Vehicle acceleration
Identification
SAE MOBILUS
Subscribers can view annotate, and download all of SAE's content.
Learn More »
