基于遗传算法的汽车动力总成悬置系统优化研究*

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振动与冲击 ›› 2010, Vol. 29 ›› Issue (10) : 187-190.

论文

基于遗传算法的汽车动力总成悬置系统优化研究*

付江华1;史文库1;沈志宏2;郭福祥2;方德广2

作者信息 +

Optimization of automotive powertrain mounting systembased on genetic algorithm

FU Jiang-hua1; SHI Wen-ku1; SHEN Zhi-hong2; GUO Fu-xiang2; FANG De-guang2

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文章历史 +

摘要

使用传统优化算法对汽车动力总成悬置系统优化容易陷入动力总成悬置系统的局部最优解，为此在MATLAB平台中采用遗传算法编制相应的程序对其进行优化求解，优化时以汽车动力总成悬置系统六自由度解耦为目标函数，以悬置的各向刚度为设计变量，兼顾系统固有频率的合理配置和各工况下动力总成的位移控制。采用ADAMS软件对悬置系统优化前后的固有频率和能量分布进行仿真验证并对动力总成悬置系统进行静平衡校核。结果表明，遗传算法可以求悬置系统的全局最优解，优化结果稳定可靠，优化后动力总成悬置系统的解耦度得到提高。

Abstract

There are many local optimization solutions to optimize the mounting system of automotive powertrain with traditional optimum algorithms. Therefore genetic algorithm was taken advantage of to overcome this fault and the corresponding program was compiled in the MATLAB software with the six-degree-freedom kinetic energy decoupling level of the automotive powertrain mounting system taken as the objective function, stiffness of each mounting served as the design variable and the arrangement of the natural frequency system as well as the displacement control of powertrain under each operating condition taken into account. ADAMS software system was used to verify the natural frequencies and kinetic energy distribution of the powertrain mounting system before and after the optimization, and the posture of powertrain mounting system in static equilibrium was checked. The results show that the global optimal solution of the mounting system derived from the genetic algorithm is obtained reliably and the decoupling effect of powertrain mounting system after optimization has become better.

导出引用

付江华;史文库;沈志宏;郭福祥;方德广. 基于遗传算法的汽车动力总成悬置系统优化研究*[J]. 振动与冲击, 2010, 29(10): 187-190

FU Jiang-hua;SHI Wen-ku;SHEN Zhi-hong;GUO Fu-xiang;FANG De-guang. Optimization of automotive powertrain mounting systembased on genetic algorithm[J]. Journal of Vibration and Shock, 2010, 29(10): 187-190