Robust sensing and control of weld pool surface

Wei Lu; Yu Ming Zhang; Chuan Zhang; Bruce L. Walcott

doi:10.3182/20050703-6-cz-1902.01472

Robust sensing and control of weld pool surface

Wei Lu, Yu Ming Zhang, Chuan Zhang, Bruce L. Walcott

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Gas tungsten arc welding is the primary process for precision joining of metals. To develop a simple yet durable sensing and control system for this process, a novel sensor which requires no additional attachment is proposed to sense the depth of the weld pool surface using a non-transferred arc. To assure its effectiveness and accuracy, a flat surface is periodically established to provide a real-time reference so that the weld pool surface depth can be accurately measured. Because of possible large process variations, an interval model control algorithm with adaptively updated intervals is adopted. Closed-loop experiments showed that the developed control system is capable of achieving quality welds and is robust with respect to different variations.

Original language	English
Title of host publication	Proceedings of the 16th IFAC World Congress, IFAC 2005
Pages	301-306
Number of pages	6
DOIs	https://doi.org/10.3182/20050703-6-cz-1902.01472
State	Published - 2005

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Volume	16
ISSN (Print)	1474-6670

Bibliographical note

Funding Information:
This work is funded by NSF under Grant DMI-0114982. Supplemental funding is provided by the Magnatech Limited Partnership, East Granby, Connecticut, and NSF GOALI Program.

Keywords

Adaptive control
Manufacturing processes
Predictive control
Sensor system
Uncertainty

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.3182/20050703-6-cz-1902.01472

Cite this

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title = "Robust sensing and control of weld pool surface",

abstract = "Gas tungsten arc welding is the primary process for precision joining of metals. To develop a simple yet durable sensing and control system for this process, a novel sensor which requires no additional attachment is proposed to sense the depth of the weld pool surface using a non-transferred arc. To assure its effectiveness and accuracy, a flat surface is periodically established to provide a real-time reference so that the weld pool surface depth can be accurately measured. Because of possible large process variations, an interval model control algorithm with adaptively updated intervals is adopted. Closed-loop experiments showed that the developed control system is capable of achieving quality welds and is robust with respect to different variations.",

keywords = "Adaptive control, Manufacturing processes, Predictive control, Sensor system, Uncertainty",

author = "Wei Lu and Zhang, {Yu Ming} and Chuan Zhang and Walcott, {Bruce L.}",

note = "Funding Information: This work is funded by NSF under Grant DMI-0114982. Supplemental funding is provided by the Magnatech Limited Partnership, East Granby, Connecticut, and NSF GOALI Program.",

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AU - Zhang, Yu Ming

AU - Zhang, Chuan

AU - Walcott, Bruce L.

N1 - Funding Information: This work is funded by NSF under Grant DMI-0114982. Supplemental funding is provided by the Magnatech Limited Partnership, East Granby, Connecticut, and NSF GOALI Program.

PY - 2005

Y1 - 2005

N2 - Gas tungsten arc welding is the primary process for precision joining of metals. To develop a simple yet durable sensing and control system for this process, a novel sensor which requires no additional attachment is proposed to sense the depth of the weld pool surface using a non-transferred arc. To assure its effectiveness and accuracy, a flat surface is periodically established to provide a real-time reference so that the weld pool surface depth can be accurately measured. Because of possible large process variations, an interval model control algorithm with adaptively updated intervals is adopted. Closed-loop experiments showed that the developed control system is capable of achieving quality welds and is robust with respect to different variations.

AB - Gas tungsten arc welding is the primary process for precision joining of metals. To develop a simple yet durable sensing and control system for this process, a novel sensor which requires no additional attachment is proposed to sense the depth of the weld pool surface using a non-transferred arc. To assure its effectiveness and accuracy, a flat surface is periodically established to provide a real-time reference so that the weld pool surface depth can be accurately measured. Because of possible large process variations, an interval model control algorithm with adaptively updated intervals is adopted. Closed-loop experiments showed that the developed control system is capable of achieving quality welds and is robust with respect to different variations.

KW - Adaptive control

KW - Manufacturing processes

KW - Predictive control

KW - Sensor system

KW - Uncertainty

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Robust sensing and control of weld pool surface

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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