Geometry and Thermal Regulation of GMA Welding via Conventional and Neural Adaptive Control

Tzafestas, SG; Rigatos, GG; Kyriannakis, EJ

dc.contributor.author	Tzafestas, SG	en
dc.contributor.author	Rigatos, GG	en
dc.contributor.author	Kyriannakis, EJ	en
dc.date.accessioned	2014-03-01T01:12:58Z
dc.date.available	2014-03-01T01:12:58Z
dc.date.issued	1997	en
dc.identifier.issn	0921-0296	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12292
dc.subject	Adaptive control	en
dc.subject	Gas metal arc (GMA) welding	en
dc.subject	Geometric characteristics	en
dc.subject	Neural adaptive control	en
dc.subject	Pseudogradient control	en
dc.subject	Regulation of GMA welding	en
dc.subject	Self-tuning control	en
dc.subject	Thermal characteristics	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Robotics	en
dc.subject.other	Multivariable control systems	en
dc.subject.other	Nonlinear control systems	en
dc.subject.other	Process control	en
dc.subject.other	Self tuning control systems	en
dc.subject.other	Temperature control	en
dc.subject.other	Model reference adaptive control (MRAC)	en
dc.subject.other	Multivariable self tuning adaptive control (STC)	en
dc.subject.other	Neural adaptive control (NAC)	en
dc.subject.other	Pseudogradient adaptive control (PAC)	en
dc.subject.other	Carbon dioxide arc welding	en
dc.title	Geometry and Thermal Regulation of GMA Welding via Conventional and Neural Adaptive Control	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/A:1007968630038	en
heal.identifier.secondary	http://dx.doi.org/10.1023/A:1007968630038	en
heal.language	English	en
heal.publicationDate	1997	en
heal.abstract	This paper investigates the application of conventional and neural adaptive control schemes to Gas Metal Arc (GMA) welding. The goal is to produce welds of high quality and strength. This can be achieved through proper on-line control of the geometrical and thermal characteristics of the process. The welding process is variant in time and strongly nonlinear, and is subject to many defects due to improper regulation of parameters like arc voltage and current, or travel speed of the torch. Adaptive control is thus naturally a very good candidate for the regulation of the geometrical and thermal characteristics of the welding process. Here four adaptive control techniques are reviewed and tested, namely: model reference adaptive control (MRAC), pseudogradient adaptive control (PAC), multivariable self-tuning adaptive control (STC), and neural adaptive control (NAC). Extensive numerical results are provided, together with a discussion of the relative merits and limitations of the above techniques.	en
heal.publisher	KLUWER ACADEMIC PUBL	en
heal.journalName	Journal of Intelligent and Robotic Systems: Theory and Applications	en
dc.identifier.doi	10.1023/A:1007968630038	en
dc.identifier.isi	ISI:A1997XQ26800002	en
dc.identifier.volume	19	en
dc.identifier.issue	2	en
dc.identifier.spage	153	en
dc.identifier.epage	186	en