机械工程

含模糊不确定性的动力总成悬置系统固有特性分析与优化

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  • 1. 华南理工大学 机械与汽车工程学院,广东 广州 510640; 2. 华南理工大学广州学院 汽车与交通工程学院,广东 广州 510800

吕辉(1986-),男,博士,副教授,主要从事汽车 NVH 分析与控制研究。E-mail: melvhui@ scut. edu. cn

收稿日期: 2020-01-15

  修回日期: 2020-04-24

  网络出版日期: 2020-05-08

基金资助

国家自然科学基金资助项目 (51975217); 广东省自然科学基金资助项目 (2020A1515010352); 广州市科技计划项目 (201804010092); 华南理工大学中央高校基本科研业务费专项资金资助项目 (2019MS058)

Inherent Characteristics Analysis and Optimization of Powertrain Mounting Systems Involving Fuzzy Uncertainty

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  • 1. School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China; 2. School of Automobile and Traffic Engineering,Guangzhou College of South China University of Technology,Guangzhou 510800,Guangdong,China
吕辉(1986-),男,博士,副教授,主要从事汽车 NVH 分析与控制研究。E-mail: melvhui@ scut. edu. cn

Received date: 2020-01-15

  Revised date: 2020-04-24

  Online published: 2020-05-08

Supported by

Supported by the National Natural Science Foundation of China (51975217) and the Natural Science Founda-tion of Guangdong Province (2020A1515010352)

摘要

工程实际中,汽车动力总成悬置系统 (PMS) 不可避免地存在着不确定因素。文中引入模糊变量描述 PMS 中具有模糊特性的不确定参数,首先推导了一种求解 PMS固有特性的模糊 - 蒙特卡洛法; 然后结合泰勒展开和中心差分法推导了一种快速求解PMS 固有特性的模糊摄动 - 中心差分法 (FPCDM); 随后,基于 FPCDM 提出了 PMS 固有特性的模糊可靠性分析与优化方法; 最后,通过数值算例验证了文中方法的有效性,并对系统进行了模糊可靠性分析与优化设计。

本文引用格式

吕辉, 杨坤, 黄晓婷, 等 . 含模糊不确定性的动力总成悬置系统固有特性分析与优化[J]. 华南理工大学学报(自然科学版), 2020 , 48(10) : 105 -112 . DOI: 10.12141/j.issn.1000-565X.200026

Abstract

In engineering practice,various uncertainties inevitably exist in the powertrain mounting system (PMS) of vehicle. In this study,fuzzy variables were introduced to address the uncertain parameters of a PMS involving fuzziness. Firstly,the fuzzy Monte-Carlo method (FMCM) was developed to calculate the fuzzy responses of inhe-rent characteristics of PMS. Then,an efficient analysis method named as fuzzy perturbation-central difference me-thod (FPCDM) was derived to improve computational efficiency. Next,the reliability-based analysis and design optimization method of the PMS with fuzziness was proposed based on FPCDM. Finally,the effectiveness of the pro-posed method was verified by a numerical example,and the fuzzy reliability and optimal design of the PMS with fuzziness were also investigated.
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