PID self-tuning control combining pole-placement and parameter optimization features

Tzafestas, S; Kapsiotis, G

dc.contributor.author	Tzafestas, S	en
dc.contributor.author	Kapsiotis, G	en
dc.date.accessioned	2014-03-01T01:10:06Z
dc.date.available	2014-03-01T01:10:06Z
dc.date.issued	1994	en
dc.identifier.issn	0378-4754	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11314
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0028547904&partnerID=40&md5=36d45f4e15bfe9d32d3ea11b8d131990	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	Closed loop control systems	en
dc.subject.other	Computer simulation	en
dc.subject.other	Control system synthesis	en
dc.subject.other	Least squares approximations	en
dc.subject.other	Mathematical models	en
dc.subject.other	Optimization	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Performance	en
dc.subject.other	Self tuning control systems	en
dc.subject.other	Tuning	en
dc.subject.other	Discrete parameter control systems	en
dc.subject.other	Discrete time model	en
dc.subject.other	Parameter optimization	en
dc.subject.other	Pole placement	en
dc.subject.other	Three term control systems	en
dc.title	PID self-tuning control combining pole-placement and parameter optimization features	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1994	en
heal.abstract	Proportional plus integral plus derivative (PID) control is a well established technique for industrial control and possesses a high flexibility for use in many applications. However the tuning procedure is in many situations nontrivial, which implies that it is difficult to find the values of the parameters that guarrantee a desired closed-loop performance. The purpose of this paper is to present a PID-tuning technique which is based on a combination of two popular methods; namely the pole placement and the parameter optimization methods. The resulting PID self-tuning controller was applied to several simulated examples. This study showed that the controller has an improved performance over the simple pole placement or the simple parameter optimization self-tuning PID controller. © 1994.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Mathematics and Computers in Simulation	en
dc.identifier.isi	ISI:A1994PW87600006	en
dc.identifier.volume	37	en
dc.identifier.issue	2-3	en
dc.identifier.spage	133	en
dc.identifier.epage	142	en