A Fuzzy Controller Design of Seam Tracking for Welding Robot

Wu, Yong; Yuan, Zhao; Wang, Jia Han

doi:10.4028/www.scientific.net/amr.442.370

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…The experimental results showed that the proposed scheme had high seam-tracking accuracy and better performance than traditional seamtracking controllers. To eliminate errors and suppress overshoot, [21,22] designed a hybrid controller that combined fuzzy logic control with proportional integral or proportional control. Simulation results showed that the scheme could achieve fast and accurate tracking of welds.…”

Section: Literature Reviewmentioning

confidence: 99%

Variable Gap MAG Welding Penetration Control Using Rough Set Knowledge Acquisition

Feng,

Yuan,

Han

et al. 2023

Mathematics

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The establishment of the correspondence between the important features of the topside weld pool and the penetration state is a key link in penetration control. This article presents a scheme of variable gap welding penetration control based on rough-fuzzy modeling. By utilizing the basic concepts of variable precision rough sets and conditional information entropy, relevant algorithms for attribute reduction and rule extraction in decision information systems are addressed. Raw data for modeling are obtained through current–gap combination experiments, and then rough-set-based knowledge acquisition algorithms are used to generate classification rules for the penetration state. Based on the correspondence between the important features of the topside pool and the penetration state, a fuzzy control model is established. Welding experiments under variable gaps are conducted to examine the proposed control scheme, and the results indicate that the weld has good penetration and meets the requirements of welding specifications.

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Section: Literature Reviewmentioning

confidence: 99%

Variable Gap MAG Welding Penetration Control Using Rough Set Knowledge Acquisition

Feng,

Yuan,

Han

et al. 2023

Mathematics

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“…Its turning depends on the speed difference of two driving wheels. The rotary angular speed A ω which is made from weld seam by fuzzy controller is one of inputs [2].…”

Section: Calculation Of Motor Speed Of the Right And Left Driven Wheelsmentioning

confidence: 99%

Design of Control System for Welding Tractor Based on DSP

Yuan

Wang

2012

AMM

Self Cite

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In order to realize the curve welding seam tracking of welding tractor, the welding tractor driven by two rear wheels is researched in this paper. The control system that a DSP controls two DC brushless motors is designed. It contains the whole system design, hardware circuit and software design. It is designed as a double closed loop system. Experimental results verified the feasibility of the whole system.

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“…Extensive research was carried out by Xizhang et al [4], Yong et al [5] and Xu et al [6] on seamless welding detector system, which was based on the active method. The use of Laplacian Gaussian function, thresholding using the maximum squared difference method, use of the tagging technique, thin work and find skeletons, the extraction of feature regions in this study is first partitioned using the image Laplacian of Gaussian (LoG) filter and the laser profile is extracted, then, to remove the discontinuities, the average filter is used.…”

Section: Introductionmentioning

confidence: 99%

A study on the modified algorithm for image processing in Tracking Seam Welding

Pourasad

Afkar²

2021

IJE

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For robot path planning the weld seam positions need to be known in advance as the industrial robots generally work in teach and playback mode. Since the welding of the pipe is not done completely on the straight line (the nature of the pipe) and the test tube under the machine is moving, the symmetry of the two probes in relation to the welding site is very important during the test and quick tracking is required to set the probes. The use of image processing and machine vision techniques is very efficient in optimizing seamless welding radia. In designing the algorithms used, an attempt has been made to reduce the environmental conditions and unstable industrial situation well in order to track the weld seam with an acceptable speed. New approach has been used to access the central line of the weld seam area. The algorithm is designed to be implemented in a real environment and has very good results. One of the advantages of this method is the reduction of measurement error and the elimination of mechanical and electrical sensors in non-destructive tests.

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A Fuzzy Controller Design of Seam Tracking for Welding Robot

Cited by 6 publications

References 3 publications

Variable Gap MAG Welding Penetration Control Using Rough Set Knowledge Acquisition

Variable Gap MAG Welding Penetration Control Using Rough Set Knowledge Acquisition

Design of Control System for Welding Tractor Based on DSP

A study on the modified algorithm for image processing in Tracking Seam Welding

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