悬架K&C特性响应的参数灵敏度分析及不确定性优化

任程远; 赵亮; 郭孔辉

doi:10.13433/j.cnki.1003-8728.2017.0519

悬架K&C特性响应的参数灵敏度分析及不确定性优化

doi: 10.13433/j.cnki.1003-8728.2017.0519

任程远¹,
赵亮^1,2, ,,
郭孔辉¹

1.
湖南大学汽车车身先进设计制造国家重点实验室, 长沙 410082;
2.
上汽通用五菱股份有限公司, 广西柳州 545007

详细信息

作者简介:
任程远(1990-),硕士研究生,研究方向为汽车系统动力学,rcy5177@163.com

通讯作者:
赵亮(联系人),高级工程师,博士,liangzhaohn@126.com

计量
- 文章访问数: 231
- HTML全文浏览量: 34
- PDF下载量: 9
- 被引次数: 0
出版历程
- 收稿日期: 2015-12-25
- 刊出日期: 2017-05-05

Parameter Sensitivity Analysis and Uncertainty Optimization of Suspension K&C Characteristic Response

1.
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China;
2.
SAIC GM Wuling Co., Ltd., Guangxi Liuzhou 545007, China

摘要

摘要: 由于零件几何误差、安装误差等存在，使实际硬点的位置具有一定的波动，存在不确定性，导致悬架K&C特性相对于标准K&C特性波动较大。针对该不确定性问题，依据刚体运动学理论应用刚体姿态坐标变换建立麦弗逊悬架数学模型，采用Sobol法对悬架K&C特性进行灵敏度分析，计算出对悬架定位参数影响大的硬点，应用区间分析对悬架结构进行参数优化，使悬架K&C特性相对于标准K&C特性波动减小进而提高悬架K&C的稳健性，结果表明该方法具有较高的稳健性以及工程实用性。
- 区间分析 /
- 不确定性 /
- Sobol法 /
- 灵敏度分析
Abstract: Due to the presence of geometric error, installation error, the actual hard point has certain fluctuation and uncertainty which cause the suspension K&C characteristic fluctuation bigger compared with the standard K&C characteristic. In view of the uncertainty analysis problem, mathematical models for Mcpherson suspension are built by using the attitude coordinate transformation based on the rigid body kinematics theory. Sobol method is used to analyze the suspension K&C characteristics sensitivity and find out the hard point of the impact. The interval analysis method is used to optimize parameters of the suspension structure which will improve the suspension K&C characteristic robustness and reduce the suspension K&C fluctuation compared with the standard K&C characteristic. The results show that this method has high robustness and practicability.
- uncertainty analysis /
- sensitivity analysis /
- robustness /
- mathematical models

HTML全文

参考文献(15)

[1]	王望予.汽车设计[M].北京:机械工业出版社,2004 Wang W Y. Design of automobile[M]. Beijing:China Machine Press, 2004(in Chinese)
[2]	耶尔森·赖姆帕尔.汽车底盘基础[M].张洪欣,余卓平,译.北京:科学普及出版社,1992:136-176 Jornsen R. Automotive chassis element[M]. Zhang H X, Yu Z P, trans. Beijing:Popular Science Press, 1992:136-176(in Chinese)
[3]	Bastow D, Howard G, Whitehead J P. Car suspension and handling[M]. London:British Library Cataloguing in Publication Data, 1987
[4]	陆建辉,周孔亢,郭立娜,等.电动汽车麦弗逊前悬架设计及参数优化[J].机械工程学报,2012,48(8):98-103 Lu J H, Zhou K K, Guo L N, et al. Design and parametric optimization of McPherson front suspension of electric vehicle[J]. Journal of Mechanical Engineering, 2012,48(8):98-103(in Chinese)
[5]	向铁明,沈理真.基于ADAMS的某赛车前悬架杆系优化[J].汽车工程,2014,36(4):486-490 Xiang T M, Shen L Z. An optimization of the front suspension linkages of a racing car with ADAMS[J]. Automotive Engineering, 2014,36(4):486-490(in Chinese)
[6]	奉铜明,钟志华,闫晓磊,等.基于NSGA-Ⅱ算法的多连杆悬架多目标优化[J].汽车工程,2012,32(12):1063-1066 Feng T M, Zhong Z H, Yan X L, et al. Multi-objective optimization for multi-link suspension based on NSGA-Ⅱ algorithm[J]. Automotive Engineering, 2012,32(12):1063-1066(in Chinese)
[7]	冯金芝,陈兴,郑松林,等.基于PDJI-MOPSO算法的多连杆悬架硬点优化[J].中国机械工程,2013,24(13):1841-1845 Feng J Z, Chen X, Zheng S L, et al. Optimization for multi-link suspension hard-points based on PDJI-MOPSO algorithm[J]. China Mechanical Engineering, 2013,24(13):1841-1845(in Chinese)
[8]	Sobol I M. Sensitivity estimates for nonlinear mathematical models[J]. Mathematical Modeling and Computational Experiment, 1993,1:407-414
[9]	洪嘉振.计算多体系统动力学[M].北京:高等教育出版社,1999 Hong J Z. Computational dynamics of multibody systems[M]. Beijing:Higher Education Press, 1999(in Chinese)
[10]	邓乾旺,文文.基于拉丁超立方抽样的薄板装配误差分析[J].中国机械工程,2012,23(8):947-951 Deng Q W, Wen W. Sheet metal assembly deviation analysis based on Latin Hypercube sampling[J]. China Mechanical Engineering, 2012,23(8):947-951(in Chinese)
[11]	张晓航.防空导弹武器装备体系作战效能全局敏感性分析方法研究[D].长沙:国防科学技术大学,2010 Zhang X H. Research on the global sensitivity analysis method of air defense missiles weapon system-of-systems combat effectiveness[D]. Changsha:National University of Defense Technology, 2010(in Chinese)
[12]	Moore R E. Methods and applications of interval analysis[M]. London:Prentice-Hall Inc, 1979
[13]	姜潮.基于区间的不确定性优化理论与算法[D].长沙:湖南大学,2008 Jiang C. Theories and algorithms of uncertain optimization based on interval[D]. Changsha:Hunan University, 2008(in Chinese)
[14]	Raquel C R, Naval P C Jr. An effective use of crowding distance in multiobjective particle swarm optimization[C]//Proceedings of the 7th annual conference on Genetic and Evolutionary Computation, June 25-29, 2005, Washington DC, USA. New York:ACM Press, 2005:257-264
[15]	Chen J N, Rungsiyakull C, Li W, et al. Multiscale design of surface morphological gradient for osseointegration[J]. Journal of the Mechanical Behavior of Biomedical Materials, 2013,20:387-397