Optimization of Automotive Valve Train Components with Implicit Filtering

被引：36

作者：

Choi, T. D. ^{[1
]}

Eslinger, O. J.

Kelley, C. T. ^{[2
,3
]}

David, J. W. ^{[4
]}

Etheridge, M. ^{[4
]}

机构：

[1] Intelligent Informat Syst, Durham, NC 27713 USA

[2] N Carolina State Univ, Ctr Res Sci Computat, Raleigh, NC 27695 USA

[3] N Carolina State Univ, Dept Math, Raleigh, NC 27695 USA

[4] N Carolina State Univ, Dept & Aerosp Engn, Raleigh, NC 27695 USA

来源：

OPTIMIZATION AND ENGINEERING | 2000年 / 1卷 / 01期

基金：

美国国家科学基金会;

关键词：

noisy optimization; implicit filtering; mechanical systems; automotive valve trains;

D O I：

10.1023/A:1010071821464

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper we show how the implicit filtering algorithm can be applied to problems in parameter identification and optimization from automotive valve train design. We extend our previous work by using a more refined model of the valve train and exploiting parallelism in a different way. We apply the parameter identification results to obtain optimal profiles for camshaft lobes.

引用

页码：9 / 27

页数：19

共 36 条

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[Anonymous], 1999, ITERATIVE METHODS OP

[2]

[Anonymous], 1992, SMR

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