智能汽车系统模糊方向控制的分析  

Analysis of fuzzy direction control in intelligent vehicle system

作　　者：黄俊嘉 余志贤 陈锐 唐小煜[1] Huang Junjia;Yu Zhixian;Chen Rui;Tang Xiaoyu(School of Physics and Telecom Engineering,South China Normal University,Guangzhou 510006,China)

机构地区：[1]华南师范大学物理与电信工程学院,广东广州510006

出　　处：《电子技术应用》2018年第9期21-23,共3页Application of Electronic Technique

基　　金：国家自然科学基金项目(61371176)

摘　　要：在5G技术的背景下,对当前智能汽车自动驾驶的方向控制领域进行研究。现有智能车识别算法大多都依赖于中线误差以控制智能汽车行驶,一旦应对无中线或者中线难以获取的道路就束手无策。针对该现状,对智能汽车随动系统进行了鲁棒性分析,在此基础上提出了具体的模糊方向控制策略,并通过实验验证了该策略的优势。对智能汽车系统的分析、解决策略和实验有利于对智能汽车系统进行改进。Under the background of 5G technology,this paper studies the direction control field of intelligent vehicle automatic driving.Most of the existing intelligent vehicle recognition algorithms rely on the error of center line to control the intelligent vehicle,and it is difficult to deal with the track elements′center line which is not available.In view of this situation,this paper analyzes the robustness of the intelligent vehicle servo system,and explains the influence of the intelligent vehicle algorithm and mechanical characteristics on the robustness of the servo system.On this basis,a specific fuzzy direction control strategy is proposed,and the superiority of the strategy is verified by experiments.The analysis,solution strategy and experiment of intelligent vehicle system are beneficial to improve the intelligent vehicle system.

关 键 词：智能汽车系统 方向控制策略 机械特性 鲁棒性 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]