Velocity control for an autonomous vehicle: Classic and fuzzy control

被引：0
|
作者：
Ovalle, EM [1 ]
Soto, R [1 ]
Conant, S [1 ]
机构：
[1] Ctr Intelligent Syst Tecnol Monterrey, Monterrey, Nuevo Leon, Mexico
来源：
Proceedings of the Eighth IASTED International Conference on Intelligent Systems and Control | 2005年
关键词：
fuzzy logic control; feedback control; advance control strategies; identification; nonlinear systems; robotics;
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：
Nowadays there are many increasing applications of autonomous guided vehicles (AGV) and wheeled mobile robots (WMR) to help humanity. Velocity control is an application in the branch of autonomous vehicles. This paper presents a brief comparison between fuzzy and classic control applied over a wheeled mobile robot, i.e., left wheel (LVC) and right wheel (RVC) velocity control. Comparisons' performance parameters include: overshoot, dead time, and execution time.
引用
收藏
页码：392 / 397
页数：6
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