Modelling and control of consumable double-electrode gas metal arc welding process

Kehai Li, Y. M. Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Consumable double-electrode gas metal arc welding (DE-GMAW) is an innovative process, which offers unique advantages to increase productivity and reduce heat distortion. However, it must be appropriately feedback controlled for any practical use. To this end, the authors identified two critical variables as outputs for the control system to be developed. The control variables were then selected to ease the modeling and control design through establishing two decoupled SISO subsystems. Each SISO subsystem was modeled as an interval model, whose parameters were unknown but bounded by known intervals. The intervals were obtained through a set of designed step response experiments. A prediction based interval model control algorithm was then implemented to control the resultant interval models. Closed-loop control experiments verified the effectiveness of the developed control system for this novel welding process.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition1 PART 1
DOIs
StatePublished - 2008
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: Jul 6 2008Jul 11 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
Country/TerritoryKorea, Republic of
CitySeoul
Period7/6/087/11/08

Bibliographical note

Funding Information:
This research was funded by the National Science Foundation (NSF) under grant No. DMI-0355324 entitled “Double-electrode gas metal arc welding.”

Keywords

  • Advanced process control
  • Identification and modelling
  • Measurement and instrumentation

ASJC Scopus subject areas

  • Control and Systems Engineering

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