Regulation of GMA welding thermal characteristics via a hierarchical MIMO predictive control scheme assuring stability

Tzafestas, SG; Kyriannakis, EJ

dc.contributor.author	Tzafestas, SG	en
dc.contributor.author	Kyriannakis, EJ	en
dc.date.accessioned	2014-03-01T01:15:51Z
dc.date.available	2014-03-01T01:15:51Z
dc.date.issued	2000	en
dc.identifier.issn	0278-0046	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13776
dc.subject	gas metal arc welding	en
dc.subject	generalized predictive control	en
dc.subject	hierarchical generalized predictive control	en
dc.subject	primary torch	en
dc.subject	secondary torch	en
dc.subject	welding thermal characteristics	en
dc.subject.classification	Automation & Control Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Instruments & Instrumentation	en
dc.subject.other	ADAPTIVE-CONTROL	en
dc.title	Regulation of GMA welding thermal characteristics via a hierarchical MIMO predictive control scheme assuring stability	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/41.847907	en
heal.identifier.secondary	http://dx.doi.org/10.1109/41.847907	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	This paper deals with the regulation of the thermal characteristics of gas metal are welding (GMAW). A complete treatment of the welding control problem requires the regulation of both the geometrical and thermal characteristics of the weld. Both classes of characteristics are of critical importance, but the thermal ones have received less attention in the majority of previous work. The present paper proposes a hierarchical predictive control scheme for the metallurgical characteristics of GR GMAW, A previously developed model for the regulation of the heat-affected zone, the cooling rate, and the nugget cross-sectional area is used for the open-loop predictions. At the first level of the hierarchy, a parameterized generalized predictive control (GPC) algorithm is selected, among other control techniques, due to the inherited difficulty of the welding thermal process and the robustness of this algorithm against modeling errors and parameter variations. The main drawback of GPC is that it does not guarantee stability. The second level of the control hierarchy where a coordinator specifies a set of reliable values for the parameters of GPC, so that stability is assured, and transmits them to the controller of the first level overcomes this difficulty. This paper provides a representative set of simulation results obtained by the present hierarchical GPC scheme, including a comparison with the classical linear-quadratic optimal control scheme. These results show the superiority of the GPC scheme.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS	en
dc.identifier.doi	10.1109/41.847907	en
dc.identifier.isi	ISI:000087695600019	en
dc.identifier.volume	47	en
dc.identifier.issue	3	en
dc.identifier.spage	668	en
dc.identifier.epage	678	en