Applying genetic search techniques to drivetrain modeling

被引：9

作者：

Maclay, D. ^{[1
]}

Dorey, R. ^{[1
]}

机构：

[1] Cambridge Control Ltd, Cambridge, United Kingdom

来源：

IEEE Control Systems Magazine | 1993年 / 13卷 / 03期

关键词：

Algorithms - Control systems - Optimization - Vehicles;

D O I：

10.1109/37.214944

中图分类号：

学科分类号：

摘要：

Work has been carried out to identify a non-linear model of a vehicle engine and drivetrain. A hybrid approach has been adopted which combines both physical modeling and parameter optimization using genetic algorithm (GA) search techniques. The resulting models which cover a range of operating conditions have allowed the sensitivity to variation of key parameters to be assessed and have been used to help optimize the overall response of the vehicle drivetrain. A comparison has been made between the GA search and a gradient based method which highlights the 'intelligent' nature of the former approach.

引用

页码：50 / 55