Integration optimization of novel electric power steering system based on quality engineering theory

被引：6

作者：

Zhao Wan-zhong ^{[1
,2
,3
]}

Zhao Ting ^{[1
]}

Li Yi-jun ^{[1
]}

Wang Chun-yan ^{[1
]}

Zhang Zong-qiang ^{[1
]}

Duan Ting-ting ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Dept Automot Engn, Nanjing 210016, Jiangsu, Peoples R China

[2] Jiangsu Univ, Automobile Engn Key Lab Jiangsu Prov, Zhenjiang 212013, Peoples R China

[3] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China

来源：

JOURNAL OF CENTRAL SOUTH UNIVERSITY | 2013年 / 20卷 / 06期

基金：

中国国家自然科学基金;

关键词：

vehicle engineering; electric power steering; active front steering; road feel; genetic algorithm; IMPROVEMENT; SIMULATION; VEHICLE;

D O I：

10.1007/s11771-013-1643-3

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

The dynamic model of a novel electric power steering (EPS) system integrated with active front steering function (the novel EPS system) is built. The concepts and quantitative expressions of the steering road feel, steering sensibility, and steering operation stability are introduced. Based on quality engineering theory, the optimization algorithm is proposed by integrating the Monte Carlo descriptive sampling, elitist non-dominated sorting genetic algorithm (NSGA-II) and 6-sigma design method. With the steering road feel and the steering portability as optimization targets, the system parameters are optimized by the proposed optimization algorithm. The simulation results show that the system optimized based on quality engineering theory can improve the steering road feel, guarantee steering stability and steering portability and thus provide a theoretical basis for the design and optimization of the novel electric power steering system.

引用

页码：1519 / 1526

页数：8

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