Optimized Research on Logic Threshold of Passenger Car Based on Genetic Algorithm

被引：0

作者：

Zhao, Kegang ^{[1
]}

Sun, Xinfei ^{[1
]}

机构：

[1] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou, Guangdong, Peoples R China

来源：

2011 9TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2011) | 2011年

关键词：

Anti-lock Braking System; Threshold control; Genetic Algorithm; Parameter optimization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper firstly analyzes the control mechanism of logic thresholds of wheel acceleration and deceleration. Considering working characteristics of the passenger car, a vehicle dynamics platform of Carsim is introduced, and then the Matlab/Simulink is used to run a combined simulation with Carsim. In order to optimize multiple logic thresholds, Genetic Algorithm is used to optimize multi-parameter of ABS controller. It is proved that this method is practical and effective by relative validation procedure.

引用

页码：657 / 660

页数：4