Stochastic modelling and analysis of dynamic plasma reflection

Y. M. Zhang; Y. Ma

doi:10.3182/20020721-6-es-1901.00047

Stochastic modelling and analysis of dynamic plasma reflection

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

Abstract

Keyhole arc welding is a cost-effective process to weld thick materials. To successfully apply this process, the state of the keyhole must be accurately detected and used in feedback control. In this paper, the dynamic behavior of the plasma reflection is described using the reflection arc angle (RAA). It is found that the RAA series can be considered an autoregressive moving-average (ARMA) process. The parameters of the ARMA are recursively estimated using the extended least squares algorithm. It is found that the recursive estimates of the model parameters change as the state of the keyhole changes. A discriminator has been proposed to determine the state of the keyhole based on the recursive estimates of the model parameters.

Original language	English
Title of host publication	IFAC Proceedings Volumes (IFAC-PapersOnline)
Editors	Gabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente
Pages	271-276
Number of pages	6
Edition	1
DOIs	https://doi.org/10.3182/20020721-6-es-1901.00047
State	Published - 2002
Event	15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain Duration: Jul 21 2002 → Jul 26 2002

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Number	1
Volume	35
ISSN (Print)	1474-6670

Conference

Conference	15th World Congress of the International Federation of Automatic Control, 2002
Country/Territory	Spain
City	Barcelona
Period	7/21/02 → 7/26/02

Bibliographical note

Publisher Copyright:
Copyright © 2002 IFAC.

Funding

This work is funded by the United States' National Science Foundation under Grant DMI-981298 1 and the Center for Robotics and Manufacturing Systems at the University of Kentucky.

Funders	Funder number
Center for Robotics and Manufacturing Systems
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China	DMI-981298 1
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China

Keywords

Autoregressive moving average (ARMA)
Impulse transfer function
Least squares algorithm

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.3182/20020721-6-es-1901.00047

Cite this

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title = "Stochastic modelling and analysis of dynamic plasma reflection",

abstract = "Keyhole arc welding is a cost-effective process to weld thick materials. To successfully apply this process, the state of the keyhole must be accurately detected and used in feedback control. In this paper, the dynamic behavior of the plasma reflection is described using the reflection arc angle (RAA). It is found that the RAA series can be considered an autoregressive moving-average (ARMA) process. The parameters of the ARMA are recursively estimated using the extended least squares algorithm. It is found that the recursive estimates of the model parameters change as the state of the keyhole changes. A discriminator has been proposed to determine the state of the keyhole based on the recursive estimates of the model parameters.",

keywords = "Autoregressive moving average (ARMA), Impulse transfer function, Least squares algorithm",

author = "Zhang, \{Y. M.\} and Y. Ma",

note = "Publisher Copyright: Copyright {\textcopyright} 2002 IFAC.; 15th World Congress of the International Federation of Automatic Control, 2002 ; Conference date: 21-07-2002 Through 26-07-2002",

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booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

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}

Zhang, YM & Ma, Y 2002, Stochastic modelling and analysis of dynamic plasma reflection. in G Ferrate, EF Camacho, L Basanez & JA de la Puente (eds), IFAC Proceedings Volumes (IFAC-PapersOnline). 1 edn, IFAC Proceedings Volumes (IFAC-PapersOnline), no. 1, vol. 35, pp. 271-276, 15th World Congress of the International Federation of Automatic Control, 2002, Barcelona, Spain, 7/21/02. https://doi.org/10.3182/20020721-6-es-1901.00047

Stochastic modelling and analysis of dynamic plasma reflection. / Zhang, Y. M.; Ma, Y.
IFAC Proceedings Volumes (IFAC-PapersOnline). ed. / Gabriel Ferrate; Eduardo F. Camacho; Luis Basanez; Juan. A. de la Puente. 1. ed. 2002. p. 271-276 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 35, No. 1).

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

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N2 - Keyhole arc welding is a cost-effective process to weld thick materials. To successfully apply this process, the state of the keyhole must be accurately detected and used in feedback control. In this paper, the dynamic behavior of the plasma reflection is described using the reflection arc angle (RAA). It is found that the RAA series can be considered an autoregressive moving-average (ARMA) process. The parameters of the ARMA are recursively estimated using the extended least squares algorithm. It is found that the recursive estimates of the model parameters change as the state of the keyhole changes. A discriminator has been proposed to determine the state of the keyhole based on the recursive estimates of the model parameters.

AB - Keyhole arc welding is a cost-effective process to weld thick materials. To successfully apply this process, the state of the keyhole must be accurately detected and used in feedback control. In this paper, the dynamic behavior of the plasma reflection is described using the reflection arc angle (RAA). It is found that the RAA series can be considered an autoregressive moving-average (ARMA) process. The parameters of the ARMA are recursively estimated using the extended least squares algorithm. It is found that the recursive estimates of the model parameters change as the state of the keyhole changes. A discriminator has been proposed to determine the state of the keyhole based on the recursive estimates of the model parameters.

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KW - Impulse transfer function

KW - Least squares algorithm

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Stochastic modelling and analysis of dynamic plasma reflection

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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