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Robust Optimization for Suspension Parameters of Suspended Monorail Vehicle Using Taguchi Method and Kriging Surrogate Model

基於Taguchi方法和Kriging代理模型的懸掛式單軌車輛懸掛參數穩健優化

摘要


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.

並列摘要


本文旨在提出一種懸掛式單軌車輛懸掛參數有效穩健優化方法。為了實現該方法,首先,構建了懸掛式單軌車輛的多體動力學模型作為模擬模型,以獲得車輛運行穩定性指標。然後,將通過正交試驗設計方法得到的多組合懸掛參數引入模擬模型,得到代理模型的訓練樣本,並構建了車輛運行穩定性的Kriging代理模型。最後,使用Taguchi方法基於Kriging代理模型尋找懸掛參數的最優組合,並比較於初始和最優組合對應的懸掛參數的運行穩定性指標值。結果表明,本文提出的穩健優化方法將懸掛單軌車輛的橫向和垂向運行穩定性分別提高了10.08%和9.18%。

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