Stochastic modelling and analysis of dynamic plasma reflection

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
EditorsGabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente
Pages271-276
Number of pages6
Edition1
DOIs
StatePublished - 2002
Event15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain
Duration: Jul 21 2002Jul 26 2002

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1
Volume35
ISSN (Print)1474-6670

Conference

Conference15th World Congress of the International Federation of Automatic Control, 2002
Country/TerritorySpain
CityBarcelona
Period7/21/027/26/02

Bibliographical note

Funding Information:
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.

Publisher Copyright:
Copyright © 2002 IFAC.

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering

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