Robust Optimization Design of Suspension System Based on Spatial Structure

In view of the uncertainty influence of spatial structure parameters of suspension system for vehicle dynamic performance, a robust optimization design of suspension system had been performed based on Taguchi method. A vehicle model was built to carry out the simulation analysis. By the simulation data, the key factors for vehicle dynamic performance were gotten and the design variables were chosen. The design variables include 6 spatial structure parameters of suspension system, such as the kingpin length, the upper arm length of suspension system, the pull arm length, etc, and 2 noise factors, the kingpin inclination angle and caster. The optimization objectives included the vehicle vertical acceleration, the wheel side slip and the vehicle roll angle. The optimization results were shown that the variance of optimization objective was decreased and the robustness of vehicle dynamic performance was improved.