基于遗传算法的转向垂臂结构优化设计

Optimization Design of Spindle Arm Structure Based on Genetic Algorithm

提出了以体积(质量)最小和多工况下应力最小为优化目标,建立了转向垂臂的拓扑优化模型。以转向轮左、右转向极限工况和原地转向工况作为设计载荷,以垂臂模型的控制参数作为设计变量,建立了垂臂的多目标数学模型。采用第二代非劣排序遗传算法(NGSA-II)对所建立的数学模型问题进行优化求解,得到各自的Pareto优化解集,并参考Pareto解集对垂臂进行尺寸优化。结果表明,在不影响各项性能的前提下,转向垂臂减重17.87%,取得了较好的轻量化效果。

The optimization of the minimum volume (mass) and the minimum stress under multiple working conditions was proposed,and the topology optimization model of the spindle arm was established.The left and right steering limit conditions and the in-situ steering conditions of the steering wheel were used as design loads,and based on the control parameters of the spindle arm model as design variables,a multi-objective mathematical model of the spindle arm was established.Furthermore,these established mathematical model problems were optimized by used the second generation of non-dominated sorting genetic algorithm (NSGA-II),got the optimal Pareto solutions the mathematical model,and the size of the spindle arm was optimized with reference to the Pareto solution results.The results show that the mass of the spindle arm is decreased by 17.87% under the condition of ensuring the premise of various performances.The proposed method has higher efficiency.