Path Planning for Excavator Arm: Fuzzy Logic Control Approach

This paper proposes an algorithm to design the path for automated excavator arm. The path designing is divided into two phases. Firstly, the fuzzy logic technique is used to determine the change of the path to adapt with the variation of the material after each digging period. Secondly, the B-spline...

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Main Authors: Nga Thi-Thuy Vu, Nam Phuong Tran
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2020/8893260
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author Nga Thi-Thuy Vu
Nam Phuong Tran
author_facet Nga Thi-Thuy Vu
Nam Phuong Tran
author_sort Nga Thi-Thuy Vu
collection DOAJ
description This paper proposes an algorithm to design the path for automated excavator arm. The path designing is divided into two phases. Firstly, the fuzzy logic technique is used to determine the change of the path to adapt with the variation of the material after each digging period. Secondly, the B-spline algorithm is used to build the optimal trajectory. By this, the excavator can maximize the dug weight although the shape of the material is variation. The effectiveness of the algorithm is verified through computer simulation and real-time experiment. The simulation and experimental results show that the generated optimal path keeps the dug weight around the expected value regardless of the change of the environment.
format Article
id doaj-art-33f7875b57ae47768871f89982ed2d7d
institution Kabale University
issn 1687-9600
1687-9619
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Journal of Robotics
spelling doaj-art-33f7875b57ae47768871f89982ed2d7d2025-02-03T01:20:09ZengWileyJournal of Robotics1687-96001687-96192020-01-01202010.1155/2020/88932608893260Path Planning for Excavator Arm: Fuzzy Logic Control ApproachNga Thi-Thuy Vu0Nam Phuong Tran1School of Electrical Engineering, Hanoi University of Science and Technology, Hanoi, VietnamSchool of Electrical Engineering, Hanoi University of Science and Technology, Hanoi, VietnamThis paper proposes an algorithm to design the path for automated excavator arm. The path designing is divided into two phases. Firstly, the fuzzy logic technique is used to determine the change of the path to adapt with the variation of the material after each digging period. Secondly, the B-spline algorithm is used to build the optimal trajectory. By this, the excavator can maximize the dug weight although the shape of the material is variation. The effectiveness of the algorithm is verified through computer simulation and real-time experiment. The simulation and experimental results show that the generated optimal path keeps the dug weight around the expected value regardless of the change of the environment.http://dx.doi.org/10.1155/2020/8893260
spellingShingle Nga Thi-Thuy Vu
Nam Phuong Tran
Path Planning for Excavator Arm: Fuzzy Logic Control Approach
Journal of Robotics
title Path Planning for Excavator Arm: Fuzzy Logic Control Approach
title_full Path Planning for Excavator Arm: Fuzzy Logic Control Approach
title_fullStr Path Planning for Excavator Arm: Fuzzy Logic Control Approach
title_full_unstemmed Path Planning for Excavator Arm: Fuzzy Logic Control Approach
title_short Path Planning for Excavator Arm: Fuzzy Logic Control Approach
title_sort path planning for excavator arm fuzzy logic control approach
url http://dx.doi.org/10.1155/2020/8893260
work_keys_str_mv AT ngathithuyvu pathplanningforexcavatorarmfuzzylogiccontrolapproach
AT namphuongtran pathplanningforexcavatorarmfuzzylogiccontrolapproach