Application of genetic algorithms to the design optimization of an active vehicle suspension system

被引：108
|
作者：
Baumal, AE [1 ]
McPhee, JJ [1 ]
Calamai, PH [1 ]
机构：
[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada
来源：
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | 1998年 / 163卷 / 1-4期
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
10.1016/S0045-7825(98)00004-8
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The use of numerical optimization methods to partially automate the design process is demonstrated. Genetic algorithm (GA) optimization, a global search technique, is used to determine both the active control and passive mechanical parameters of a vehicle suspension system. The objective is to minimize the extreme acceleration of the passenger's seat, subject to constraints representing the required road-holding ability and suspension working space. GA optimization is also used for passive suspension design to compare results from the literature based on a local optimization search technique: a gradient projection method. (C) 1998 Elsevier Science S.A. All rights reserved.
引用
收藏
页码：87 / 94
页数：8
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