Journal of System Simulation
Abstract
Abstract: Based on a Dongfeng off-road vehicle, the kinetic simulating and integrating process of the independent suspension assembly was established by integrating the multidisciplinary optimization software iSIGHT and ADAMS/Car. The optimal objective considered the variation quantity and tendency of the suspension alignment parameters as the wheels traveling was proposed, and the multi-objective optimization of the suspension was achieved by applying the DOE analysis and NSGA-II genetic algorithm. To enhance the optimal efficiency, a high-precision approximate model was established based on Kriging approximate modeling method. The results suggest both the simulating curves of two models are closing to the objective character curves after the optimizing, and the optimization results are also good. And that when using the Kriging approximate model to do the optimization, the calculating rate can be improved greatly. Based on approximate modeling method, and by using the multi-objective genetic algorithm, the simulating and integrating technology, the design efficiency of the system can be enhanced greatly.
Recommended Citation
Zhou, Hongni; Ying, Feng; Wang, Zhenxiao; and Fan, Weibing
(2020)
"Multi-objective Optimization to the Suspension of an Off-road Vehicle Based on Kriging Approximate Modeling,"
Journal of System Simulation: Vol. 29:
Iss.
1, Article 8.
DOI: 10.16182/j.issn1004731x.joss.201701008
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/8
First Page
49
Revised Date
2016-08-11
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201701008
Last Page
56
CLC
U463.4
Recommended Citation
Zhou Hongni, Feng Ying, Wang Zhenxiao, Fan Weibing. Multi-objective Optimization to the Suspension of an Off-road Vehicle Based on Kriging Approximate Modeling[J]. Journal of System Simulation, 2017, 29(1): 49-56.
DOI
10.16182/j.issn1004731x.joss.201701008
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