混沌免疫遗传算法在汽车悬置系统设计中的应用

摘要

Since traditional parameter optimization of mounting system tends to get a local optimal solution, and the premature convergence of genetic algorithm limits its optimization effect, a chaotic immune genetic algorithm was applied for parameter optimization of automotive powertrain mounting system. In the optimization, the six-DOF decoupling of the mounting system was chosen as the objective function, stiffness and installation angle of each mounting were served as the design variable, and matching of modal frequency of the system, decoupling rate of energy and static shear and compressive deformations of the mounting system were taken into account as constraint conditions. The results show that the designed algorithm can improve the performance of matching between the whale vehicle and the powertrain mounting system, as well as the performance of vibration isolation of the mounting system.%　　传统的悬置系统参数优化方法容易使优化结果陷入局部最优，遗传算法因其易于早熟收敛而限制了实际优化效果，为此提出使用混沌免疫遗传算法对汽车动力总成悬置系统参数进行优化设计。优化设计中，以动力总成悬置系统六自由度能量解耦为目标函数，以悬置刚度和安装角度为优化变量，并考虑悬置系统的模态频率匹配、能量解耦率、悬置静态剪切和压缩变形等约束条件。优化结果表明，基于设计的寻优方法，改善动力总成悬置系统与整车匹配程度，提高动力总成悬置系统的隔振性能。