A Fuzzy Rule-Based Control System for Fast Line-Following Robots

被引：3

作者：

Eleftheriou, G. ^{[1
]}

Doitsidis, L. ^{[2
]}

Zinonos, Z. ^{[1
]}

Chatzichristofis, S. A. ^{[1
]}

机构：

[1] Neapolis Univ Pafos, Dept Comp Sci, Intelligent Syst Lab, Paphos, Cyprus

[2] Tech Univ Crete, Sch Prod Engn & Management, Iraklion, Greece

来源：

16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020) | 2020年

关键词：

IoT; robot; control system; Fuzzy Logic; PID; Computer Vision;

D O I：

10.1109/DCOSS49796.2020.00068

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on the optimization of the linetracking and following control technique used in high speed autonomous movable IoT devices such as line-following robotic vehicles. A fusion of a new pro-active / feed-forward control system, based on the simultaneous use of computer vision and the use of an array of analog infrared reflective phototransistors with an optimised PID based feed-back implementation is proposed. Experimental evaluations demonstrate that the proposed approach aids and improves the performance of line-following robots compared to the traditional PID technique.

引用

页码：388 / 395

页数：8

共 26 条

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