Sampled weighted attraction control of distributed thermal scan welding

Charalabos C. Doumanidis

Kybernetika (1999)

  • Volume: 35, Issue: 1, page [117]-132
  • ISSN: 0023-5954

Abstract

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This article addresses the problem of distributed-parameter control for a class of infinite-dimensional manufacturing processes with scanned thermal actuation, such as scan welding. This new process is implemented on a robotic GTAW laboratory setup with infrared pyrometry, and simulated by a flexible numerical computation program. An analytical linearized model, based on convolution of Green’s fields, is expressed in multivariable state-space form, with its time-variant parameters identified in-process. A robust controller design compensates for model uncertainty, and a sampled weighted attraction method is introduced for heat source guidance based on real-time thermal optimization of the heat input distribution. The distributed thermal regulation strategy with infrared feedback is validated both computationally and experimentally in scan welding tests.

How to cite

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Doumanidis, Charalabos C.. "Sampled weighted attraction control of distributed thermal scan welding." Kybernetika 35.1 (1999): [117]-132. <http://eudml.org/doc/33414>.

@article{Doumanidis1999,
abstract = {This article addresses the problem of distributed-parameter control for a class of infinite-dimensional manufacturing processes with scanned thermal actuation, such as scan welding. This new process is implemented on a robotic GTAW laboratory setup with infrared pyrometry, and simulated by a flexible numerical computation program. An analytical linearized model, based on convolution of Green’s fields, is expressed in multivariable state-space form, with its time-variant parameters identified in-process. A robust controller design compensates for model uncertainty, and a sampled weighted attraction method is introduced for heat source guidance based on real-time thermal optimization of the heat input distribution. The distributed thermal regulation strategy with infrared feedback is validated both computationally and experimentally in scan welding tests.},
author = {Doumanidis, Charalabos C.},
journal = {Kybernetika},
keywords = {scan welding; thermal control; distributed parameter; numerical method; scan welding; thermal control; distributed parameter; numerical method},
language = {eng},
number = {1},
pages = {[117]-132},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Sampled weighted attraction control of distributed thermal scan welding},
url = {http://eudml.org/doc/33414},
volume = {35},
year = {1999},
}

TY - JOUR
AU - Doumanidis, Charalabos C.
TI - Sampled weighted attraction control of distributed thermal scan welding
JO - Kybernetika
PY - 1999
PB - Institute of Information Theory and Automation AS CR
VL - 35
IS - 1
SP - [117]
EP - 132
AB - This article addresses the problem of distributed-parameter control for a class of infinite-dimensional manufacturing processes with scanned thermal actuation, such as scan welding. This new process is implemented on a robotic GTAW laboratory setup with infrared pyrometry, and simulated by a flexible numerical computation program. An analytical linearized model, based on convolution of Green’s fields, is expressed in multivariable state-space form, with its time-variant parameters identified in-process. A robust controller design compensates for model uncertainty, and a sampled weighted attraction method is introduced for heat source guidance based on real-time thermal optimization of the heat input distribution. The distributed thermal regulation strategy with infrared feedback is validated both computationally and experimentally in scan welding tests.
LA - eng
KW - scan welding; thermal control; distributed parameter; numerical method; scan welding; thermal control; distributed parameter; numerical method
UR - http://eudml.org/doc/33414
ER -

References

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  8. Rosenbluth N. Metropolis, A. M., Teller A. E., J, Chem. Phys. (1953), 1087–1092 (1953) 
  9. Miyachi H., n –Process Control of Root-Gap Changes During Butt Welding, Dept. of Mechanical Engineering, MIT, Cambridge, MA 1989 
  10. Murio D. A., The Molification Method and the Numerical Solution of Ill–Posed Problems, Wiley, New York 1993 MR1227986
  11. Ray W. H., Lainiotis D. G., DPS–Identification, Estimation and Control, M. Dekker, New York 1978 MR0527208
  12. Schmitendorf W. E., Barmish B. R., Guaranteed asymptotic stability for systems with constant disturbances, In: Proceedings of ACC, Boston 1985 

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