A approximation model and a genetic algorithm are adopted to determine the best dimension parameters of the large mining truck. This study creats virtual prototype models of the front suspension of double wisebone and conducts simulation tests. This study intergrates Adams to obtain the suspension hardpoints (shown as the coordinates in 3D space), which have great impact on parameters of suspension performance, by performing sensitivity analysis. Then, several different approximation models can be obtained by taking the coordinates as design variable and echoing with suspensions' kinematics character. This study acquires the optimized suspension dimension parameters by applying Nsga-Ⅱ genetic algorithm. Kinematic performance of suspensions can be improved eventually.
关键词
双叉臂前悬架/Adams/Car/仿真分析/多目标优化
Key words
double wishbone front suspension/Adams/Car/simulation analysis/multi objective optimization
维普
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