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CSME 2019/10
Volume 40 No.5
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481-489
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Robust Optimization for Suspension Parameters of Suspended Monorail Vehicle Using Taguchi Method and Kriging Surrogate Model
Wenlong Liua, Yue Yangb, Ran Zhenga and Panpan Wanga
aSchool of Traffic & Transportation Engineering, Central South University, Changsha, China
bCAD/CAM Institute, Central South University, Changsha, China
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Abstract:
This study proposes an effective method to robust optimize the vehicle suspension parameters. To implement this method, firstly, a multi-body dynamics model of the suspended monorail vehicle was constructed as a simulation model to obtain the vehicle running stability index. Then, the multi-combination suspension parameters obtained by the orthogonal experimental design method are brought into the simulation model to obtain the training samples of the surrogate model, and the Kriging surrogate model on the vehicle running stability is constructed. Finally, the Taguchi method is used to find the optimal combination of suspension parameters based on the Kriging surrogate model, and the running stability index values of the suspension parameters corresponding to the initial and optimal combinations is compared. The results show that the robust optimization method proposed in this paper improves the lateral and vertical running stability of suspended monorail vehicle by 10.08% and 9.18%, respectively.
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Keywords: Robust optimization, Surrogate mode, Suspended monorail vehicle, Taguchi method.
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*Corresponding author; e-mail:
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©
2019
CSME , ISSN 0257-9731
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