Nonlinear interval model control of quasi-keyhole arc welding process

W. Lu, Y. M. Zhang, W. Y. Lin

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

This paper addresses the development of a nonlinear model based interval model control system for the quasi-keyhole arc welding process, a novel arc welding process which has advantages over the laser welding process and conventional arc welding processes. The structure of the nonlinear model chosen was proposed based on an analysis of the quasi-keyhole process to be controlled. Because of the variations in the manufacturing conditions, the parameters of the nonlinear model are uncertain but bounded by fixed intervals if the range of the manufacturing conditions is specified. To determine the intervals, extreme operating conditions/parameters (manufacturing conditions) were used to conduct experiments. Each experiment gives a set of model parameters and the interval for each parameter is given by the minimum and maximum among the values obtained from different experiments. Closed-loop control experiments have verified the effectiveness of the developed system as a robust control which requires no re-adjustment and can function properly when fluctuations/variations in manufacturing conditions, and thus the process dynamics, change, vary, or fluctuate.

Original languageEnglish
Pages (from-to)805-813
Number of pages9
JournalAutomatica
Volume40
Issue number5
DOIs
StatePublished - May 2004

Bibliographical note

Funding Information:
This work was supported by the National Science Foundation under Grant DMI-9812981 and 0114982 and the National Shipbuilding Research Program. Mr. W.-Y. Lin greatly appreciates the support of the National Science Foundation Research Experience for Undergraduate Students Supplemental to NSF Grant DMI- 9812981.

Keywords

  • Joint penetration
  • Manufacturing processes
  • Nonlinear systems
  • Plasma arc welding
  • Predictive control
  • Uncertainty
  • Welding

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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