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.
|Title of host publication||IFAC Proceedings Volumes (IFAC-PapersOnline)|
|Editors||Gabriel Ferrate, Eduardo F. Camacho, Luis Basanez, Juan. A. de la Puente|
|Number of pages||6|
|State||Published - 2002|
|Event||15th World Congress of the International Federation of Automatic Control, 2002 - Barcelona, Spain|
Duration: Jul 21 2002 → Jul 26 2002
|Name||IFAC Proceedings Volumes (IFAC-PapersOnline)|
|Conference||15th World Congress of the International Federation of Automatic Control, 2002|
|Period||7/21/02 → 7/26/02|
Bibliographical noteFunding 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.
Copyright © 2002 IFAC.
- Autoregressive moving average (ARMA)
- Impulse transfer function
- Least squares algorithm
ASJC Scopus subject areas
- Control and Systems Engineering