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

被引：0
|
作者：
Wan-zhong Zhao
Ting Zhao
Yi-jun Li
Chun-yan Wang
Zong-qiang Zhang
Ting-ting Duan
机构：
[1] Nanjing University of Aeronautics and Astronautics,Department of Automotive Engineering
[2] Jiangsu University,Automobile Engineering Key Laboratory of Jiangsu Province
[3] Chongqing University,State Key Laboratory of Mechanical Transmission
来源：
Journal of Central South University | 2013年 / 20卷
关键词：
vehicle engineering; electric power steering; active front steering; road feel; genetic algorithm;
D O I：
暂无
中图分类号：
学科分类号：
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
收藏
页码：1519 / 1526
页数：7
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