Application of MIMO direct adaptive control to gas metal arc welding

Selahattin Ozcelik; Kevin L. Moore; Subbaram D. Naidu

doi:10.1109/ACC.1998.707309

Application of MIMO direct adaptive control to gas metal arc welding

Selahattin Ozcelik, Kevin L. Moore, Subbaram D. Naidu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Scopus citations

Abstract

This paper presents the design of a Direct Model Reference Adaptive Control (DMRAC) for a Gas Metal Arc Welding Process (GMAW). Recently developed highly nonlinear fifth order mathematical model for the GMAW process is used. Simplifications and linearization yield the process to be modeled as two-input two-output second order system. Current and arc voltage as being the process outputs are controlled by open circuit voltage and wire feed speed, which are chosen as the process control inputs. Considering wide range of operating conditions, process parameters are allowed to vary within their prescribed ranges. Simulations are performed on the fifth order nonlinear process and satisfactory results are obtained.

Original language	English (US)
Title of host publication	Proceedings of the 1998 American Control Conference, ACC 1998
Pages	1762-1766
Number of pages	5
DOIs	https://doi.org/10.1109/ACC.1998.707309
State	Published - 1998
Externally published	Yes
Event	1998 American Control Conference, ACC 1998 - Philadelphia, PA, United States Duration: Jun 24 1998 → Jun 26 1998

Publication series

Name	Proceedings of the American Control Conference
Volume	3
ISSN (Print)	0743-1619

Other

Other	1998 American Control Conference, ACC 1998
Country/Territory	United States
City	Philadelphia, PA
Period	6/24/98 → 6/26/98

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10.1109/ACC.1998.707309

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Ozcelik, S, Moore, KL & Naidu, SD 1998, Application of MIMO direct adaptive control to gas metal arc welding. in Proceedings of the 1998 American Control Conference, ACC 1998., 707309, Proceedings of the American Control Conference, vol. 3, pp. 1762-1766, 1998 American Control Conference, ACC 1998, Philadelphia, PA, United States, 6/24/98. https://doi.org/10.1109/ACC.1998.707309

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abstract = "This paper presents the design of a Direct Model Reference Adaptive Control (DMRAC) for a Gas Metal Arc Welding Process (GMAW). Recently developed highly nonlinear fifth order mathematical model for the GMAW process is used. Simplifications and linearization yield the process to be modeled as two-input two-output second order system. Current and arc voltage as being the process outputs are controlled by open circuit voltage and wire feed speed, which are chosen as the process control inputs. Considering wide range of operating conditions, process parameters are allowed to vary within their prescribed ranges. Simulations are performed on the fifth order nonlinear process and satisfactory results are obtained.",

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year = "1998",

doi = "10.1109/ACC.1998.707309",

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N2 - This paper presents the design of a Direct Model Reference Adaptive Control (DMRAC) for a Gas Metal Arc Welding Process (GMAW). Recently developed highly nonlinear fifth order mathematical model for the GMAW process is used. Simplifications and linearization yield the process to be modeled as two-input two-output second order system. Current and arc voltage as being the process outputs are controlled by open circuit voltage and wire feed speed, which are chosen as the process control inputs. Considering wide range of operating conditions, process parameters are allowed to vary within their prescribed ranges. Simulations are performed on the fifth order nonlinear process and satisfactory results are obtained.

AB - This paper presents the design of a Direct Model Reference Adaptive Control (DMRAC) for a Gas Metal Arc Welding Process (GMAW). Recently developed highly nonlinear fifth order mathematical model for the GMAW process is used. Simplifications and linearization yield the process to be modeled as two-input two-output second order system. Current and arc voltage as being the process outputs are controlled by open circuit voltage and wire feed speed, which are chosen as the process control inputs. Considering wide range of operating conditions, process parameters are allowed to vary within their prescribed ranges. Simulations are performed on the fifth order nonlinear process and satisfactory results are obtained.

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ER -

Application of MIMO direct adaptive control to gas metal arc welding

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