摘要
针对复杂非线性系统多参数优化设计不仅计算工作量大且难以获得理论上最优解的问题,提出将全局敏感性分析和全局多梯度算法(PE-HMGE)相结合的多参数多目标优化策略。通过基于方差的Sobol全局敏感性分析精简系统模型,确定敏感参数,并构造基于敏感参数的多目标优化模型,采用PE-HMGE算法得到最优解。将本方法应用于主轴承润滑特性的简化模型优化设计中,对比仿真结果,最小油膜厚度(MOFT)提高了39%;最大峰值粗糙接触压力降低了45%;平均有效摩擦损失降低了19%。测试结果表明轴承的润滑特性得到明显改善,证明了该研究方法的有效性。
Multi-parameter optimization design of complex nonlinear system involves huge computational work,and the optimal solution in theory is difficult to obtain. A new multi-parameter and multi-objective optimization strategy that combines the global sensitivity analysis with optimization algorithm of PE-HMGE is proposed. By using the variance-based Sobol global sensitivity analysis,the complex system model is simplified,and the sensitivity parameters are defined to construct the multi-objective optimization model and the optimal solution is obtained by using the optimization algorithm of PE-HMGE. This method is used for simplified model optimization design of lubrication characteristics of main bearings. According to the compared simulation results,the minimum oil film thickness improves by 39%; the peak asperity contact pressure and the average friction power loss decreases by 45% and19% respectively. The experimental results show that lubrication characteristics of bearings are greatly improved,which has proved the validity of the proposed new method.
作者
李林洁
韦静思
何志良
陈宇
占文锋
Li Linjie;Wei Jingsi;He Zhiliang;Chen Yu;Zhan Wenfeng(Automotive Research & Development Center,Guangzhou Automobile Group Co.,Ltd.,Guangzhou 511434)
出处
《汽车工程》
EI
CSCD
北大核心
2018年第12期1488-1493,1487,共7页
Automotive Engineering
基金
国家重点研发计划(2017YFB0103300)资助
关键词
弹性液动轴承
全局敏感性分析
PE-HMGE算法
多参数优化
elasto-hydrodynamic bearing
global sensitivity analysis
optimization algorithm of PE-MGE
multi-parameter optimization
