基于遗传算法的汽车动力总成悬置系统优化研究  

Optimization for an automotive powertrain mounting system based on genetic algorithm

作　　者：付江华[1] 史文库[1] 沈志宏[2] 郭福祥[2] 方德广[2] 

机构地区：[1]吉林大学汽车动态模拟国家重点实验室,长春130025 [2]南京依维柯汽车有限公司,南京210028

出　　处：《振动与冲击》2010年第10期187-190,共4页Journal of Vibration and Shock

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。There are only many local optimal solutions to a mounting system of automotive powertrain with traditional optimal algorithms.Therefore,genetic algorithm was adopted to overcome this fault and the corresponding program was compiled with MATLAB software.Taking six-degree-freedom decoupling of an automotive powertrain mounting system as an objective function,stiffness of each mounting was served as the design variable,the appropriate arrangement for natural frequencies of the system and the displacement control for the powertrain under each operating condition were taken into account.ADAMS software was used to verify natural frequencies and kinetic energy distribution of the powertrain mounting system before and after optimization,and the static equilibrium of the powertrain mounting system was checked.The results showed that the global optimal solution to the mounting system with the genetic algorithm is obtained reliably and the decoupling effect of the powertrain mounting system after optimization becomes better.

关 键 词：动力总成 悬置 解耦 优化 遗传算法 MATLAB ADAMS 

分 类 号：U461.1[机械工程—车辆工程]