Research on Tracked Vehicle Suspension Parameter Optimization Based on Surrogate Model Method

Hong Yan Wang; Qin Long Wang; Qiang Rui; Wei Biao Ma

doi:10.4028/www.scientific.net/AMR.936.2098

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 936Research on Tracked Vehicle Suspension Parameter...

Research on Tracked Vehicle Suspension Parameter Optimization Based on Surrogate Model Method

Abstract:

In this article a surrogate model between suspension system parameters of tracked vehicle and comfort evaluation indices has been built up by using radial basis function method and the dynamic simulation of tracked vehicle. Then the optimization of suspension system parameters has been carried out by using surrogate model and adaptive simulated annealing optimization arithmetic. The results show that the research method is feasible.

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Periodical:

Advanced Materials Research (Volume 936)

Pages:

2098-2102

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.936.2098

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Online since:

June 2014

Authors:

Hong Yan Wang, Qin Long Wang*, Qiang Rui, Wei Biao Ma

Keywords:

Radial Basis Function Method, Ride Comfort, Surrogate Model Method, Suspension System Parameters Optimization

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* - Corresponding Author

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