Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics

The issue of navigation methods is being continuously developed globally. The aim of this article is to test the fuzzy control algorithm for track finding in mobile robotics. The concept of an autonomous mobile robot EN20 has been designed to test its behaviour. The odometry navigation method was us...

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Main Authors: Cviklovič Vladimír, Olejár Martin, Hrubý Dušan, Palková Zuzana, Lukáč Ondrej, Hlaváč Peter
Format: Article
Language:English
Published: Sciendo 2016-03-01
Series:Acta Technologica Agriculturae
Subjects:
Online Access:https://doi.org/10.1515/ata-2016-0004
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author Cviklovič Vladimír
Olejár Martin
Hrubý Dušan
Palková Zuzana
Lukáč Ondrej
Hlaváč Peter
author_facet Cviklovič Vladimír
Olejár Martin
Hrubý Dušan
Palková Zuzana
Lukáč Ondrej
Hlaváč Peter
author_sort Cviklovič Vladimír
collection DOAJ
description The issue of navigation methods is being continuously developed globally. The aim of this article is to test the fuzzy control algorithm for track finding in mobile robotics. The concept of an autonomous mobile robot EN20 has been designed to test its behaviour. The odometry navigation method was used. The benefits of fuzzy control are in the evidence of mobile robot’s behaviour. These benefits are obtained when more physical variables on the base of more input variables are controlled at the same time. In our case, there are two input variables - heading angle and distance, and two output variables - the angular velocity of the left and right wheel. The autonomous mobile robot is moving with human logic.
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spelling doaj.art-09d763a4e45c427e96837444619ea6172022-12-22T04:15:03ZengSciendoActa Technologica Agriculturae1338-52672016-03-01191192310.1515/ata-2016-0004ata-2016-0004Navigation Algorithm Using Fuzzy Control Method in Mobile RoboticsCviklovič Vladimír0Olejár Martin1Hrubý Dušan2Palková Zuzana3Lukáč Ondrej4Hlaváč Peter5Slovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicSlovak University of Agriculture in Nitra, Slovak RepublicThe issue of navigation methods is being continuously developed globally. The aim of this article is to test the fuzzy control algorithm for track finding in mobile robotics. The concept of an autonomous mobile robot EN20 has been designed to test its behaviour. The odometry navigation method was used. The benefits of fuzzy control are in the evidence of mobile robot’s behaviour. These benefits are obtained when more physical variables on the base of more input variables are controlled at the same time. In our case, there are two input variables - heading angle and distance, and two output variables - the angular velocity of the left and right wheel. The autonomous mobile robot is moving with human logic.https://doi.org/10.1515/ata-2016-0004fuzzy logicencodermembership functionregulationheading angledead reckoning
spellingShingle Cviklovič Vladimír
Olejár Martin
Hrubý Dušan
Palková Zuzana
Lukáč Ondrej
Hlaváč Peter
Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics
Acta Technologica Agriculturae
fuzzy logic
encoder
membership function
regulation
heading angle
dead reckoning
title Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics
title_full Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics
title_fullStr Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics
title_full_unstemmed Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics
title_short Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics
title_sort navigation algorithm using fuzzy control method in mobile robotics
topic fuzzy logic
encoder
membership function
regulation
heading angle
dead reckoning
url https://doi.org/10.1515/ata-2016-0004
work_keys_str_mv AT cviklovicvladimir navigationalgorithmusingfuzzycontrolmethodinmobilerobotics
AT olejarmartin navigationalgorithmusingfuzzycontrolmethodinmobilerobotics
AT hrubydusan navigationalgorithmusingfuzzycontrolmethodinmobilerobotics
AT palkovazuzana navigationalgorithmusingfuzzycontrolmethodinmobilerobotics
AT lukacondrej navigationalgorithmusingfuzzycontrolmethodinmobilerobotics
AT hlavacpeter navigationalgorithmusingfuzzycontrolmethodinmobilerobotics