摘要
为提高发动机悬置系统的隔振性能,文章将稳健设计与多目标优化相结合,提出了一种发动机悬置系统多目标稳健优化方法。该方法采用第二代非劣排序遗传算法对悬置刚度进行确定性优化;考虑悬置刚度的不确定性,利用蒙特卡洛模拟方法获得确定性优化方案的可靠性,并利用6Sigma优化方法对悬置系统做了进一步稳健优化;最后以某型轿车的发动机悬置系统优化为例,验证了该方法的有效性。
To improve the performance of vibration isolation of engine mounting system ,a multi-objective ro-bust optimization method is proposed ,combining robust design and multi-objective optimization .In the meth-od ,a deterministic optimization on mount stiffness is conducted by using non-dominated sorting genetic algo-rithm-Ⅱ .Considering the uncertainty of mount stiffness ,Monte Carlo simulation technique is used to analyze the reliability of deterministic optimization scheme ,and Six Sigma optimization is adopted to perform robust optimization on mounting system .Finally ,the effectiveness of the proposed method is validated by an exam-ple of engine mounting system optimization for a car .
出处
《合肥工业大学学报(自然科学版)》
CAS
北大核心
2017年第11期1469-1473,共5页
Journal of Hefei University of Technology:Natural Science
基金
合肥工业大学产学研校企合作资助项目(W2015JSKF0392)
关键词
悬置系统
多目标优化
蒙特卡洛模拟
6Sigma优化
稳健优化
mounting system
multi-objective optimization
Monte Carlo simulation
Six Sigma optimi-zation
robust optimization