A semi-physical simulation platform for Adaptive Front Lighting System (AFS)

被引：0
|
作者：
Chen X. [1 ]
Lin G. [2 ]
机构：
[1] School of Information and Control, Nanjing University of Information Science and Technology
[2] School of Instrument Science and Engineering, Southeast University
来源：
Information Technology Journal | 2011年 / 10卷 / 11期
关键词：
AFS; Fuzzy-PID; Genetic algorithm; Kinematics model; Semi-physical simulation platform;
D O I：
10.3923/itj.2011.2052.2059
中图分类号：
学科分类号：
摘要：
This study discusses a semi-physical simulation platform for Adaptive Front lighting System (AFS) based on vehicle driving simulator. The research background, performance and development of AFS are introduced firstly. Then the architecture of AFS is proposed which includes three parts: vehicle sensors, control module and actuator unit. On the semi-physical simulation platform, the signals of gear, throttle pedal, clutch pedal, brake pedal and steering wheel are sampled by PC and with which the vehicle kinematics model is established. On the base of these, a genetic-based hybrid fuzzy-PID controller is proposed for coordinately controlling of AFS. This developed controller has capability to collect sensors data, send them into the algorithmic program and control front light up-down and left-right movement. The kinematics model and controller are tested on the semi-physical simulation platform and the results can be analyzed. This provides a convenient testing platform for control algorithm of AFS. © 2011 Asian Network for Scientific Information.
引用
收藏
页码：2052 / 2059
页数：7
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