Robust Design Of The Macpherson Suspension System Based On Kriging And NSGA-Ⅱ Optimization

Suspension is the force transmission connection structure between axle and the frame, the functions of suspension are trasnmited force and moment between the wheel and the frame. It can slow down the impact on the frame and body. Traditionally, A single performance is the optimization goal to achieve the stability and comfortability of suspension. Unfortunately, in practical application, this optimization method of suspension is not reliable. Along with the infiltration and development of robust design in multiple disciplines, this effective and reliable method of suspension optimization become more and more significant.A robust design of the macpherson suspension system based on Kriging and NSGA-Ⅱ optimization is presented in this paper. The definition and the research significance of robust design are introduced, three kinds of robust design methods were summarized: taguchi robust design method, response surface and multi-objective robust design method, which supplyed a theoretical basis to the robust design of the macpherson suspension system. Macpherson suspension model is established by ADAMS software to choose wheel alignment parameters and the sideslip shift as the optimization goal and get the relationship between location parameters, sideslip shift and the drive force. Latin hypercube design is adopted to find the sensitive points :select suspension hard point coordinates as design parameters, suspension performance as a response, finally, get the sensitive suspension points which have a huge impact on the performance parameters. Isight and ADAMS are used to build Kringing approximation model of five performance parameters. Six Sigma method is adopted to analyze the robustness of Kriging model. A NSGA-Ⅱ algorithm is applied to the robustness optimization of macpherson suspension, finally the hard point coordinates was obtained and the robustness optimization of the macpherson suspension through the substitution model validation was achieved, a new method to the robustness optimization design of macpherson suspension was provided.