基于整车的动力总成悬置系统多目标稳健优化  

Multi-objective robust optimization of powertrain mount system based on vehicle

作　　者：杨志远[1] 陈剑[1] 沈忠亮[1] 

机构地区：[1]合肥工业大学噪声振动工程研究所,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2016年第10期1305-1310,1321,共7页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(50575063)

摘　　要：针对6自由度动力总成悬置系统分析振动响应不足的问题,文章在Matlab中建立了基于整车基础的动力总成悬置系统13自由度模型,并通过模态试验进行了验证;考虑到能量解耦法的固有缺点,提出以提高能量解耦率和悬置隔振率为稳健性目标函数,基于多目标粒子群算法对悬置系统进行隔振优化。仿真和试验结果表明,基于该方法的悬置系统隔振优化在提高悬置系统能量解耦率的同时,发动机悬置的隔振率也得到不同程度的提高。Aiming at the shortcoming of six-degree-of-freedom powertrain mount system in vibration a- nalysis, a thirteen-degree-of-freedom powertrain mount system based on vehicle is established by Matlab and is verified through modal test. Considering the defect of the energy decoupling method, the robust objective function is put forward for improving the energy decoupling rate and vibration isola- tion rate, and the vibration optimization of the mount system is conducted based on the multi-objective particle swarm algorithm. The results of simulation analysis and test show that the energy decoupling rate of the powertrain mount, system is effectively improved, and the vibration isolation rate of the en- gine mount is also improved to some degree.

关 键 词：悬置系统 模态试验 多目标粒子群 稳健性 隔振优化 

分 类 号：U461.3[机械工程—车辆工程]