Genetic Algorithm Optimization for the Active Control of a Beam by Means of PZT Actuators

Gaudenzi, P; Fantini, E; Koumousis, VK; Gantes, CJ

dc.contributor.author	Gaudenzi, P	en
dc.contributor.author	Fantini, E	en
dc.contributor.author	Koumousis, VK	en
dc.contributor.author	Gantes, CJ	en
dc.date.accessioned	2014-03-01T01:13:46Z
dc.date.available	2014-03-01T01:13:46Z
dc.date.issued	1998	en
dc.identifier.issn	1045-389X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12715
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0032035504&partnerID=40&md5=d9fe0180a7bf275cae5813caffd76c20	en
dc.subject.classification	Materials Science, Multidisciplinary	en
dc.subject.other	Actuators	en
dc.subject.other	Beams and girders	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Mathematical models	en
dc.subject.other	Optimization	en
dc.subject.other	Vibration control	en
dc.subject.other	Euler-Bernoulli beam	en
dc.subject.other	Piezoelectric actuators	en
dc.subject.other	Piezoelectric devices	en
dc.title	Genetic Algorithm Optimization for the Active Control of a Beam by Means of PZT Actuators	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1998	en
heal.abstract	The aim of this work is to optimize placement and sizing of a given number of piezoelectric (PZT) actuator patches on an Euler-Bernoulli beam, in order to control (or damp) desired modes in an optimal way. A modal approach for the dynamic influence functions is used to take directly into account the position, length and loading of a generic PZT. The optimization problem is solved from a stochastic point of view by means of Genetic Algorithms.	en
heal.publisher	TECHNOMIC PUBL CO INC	en
heal.journalName	Journal of Intelligent Material Systems and Structures	en
dc.identifier.isi	ISI:000078961300007	en
dc.identifier.volume	9	en
dc.identifier.issue	4	en
dc.identifier.spage	291	en
dc.identifier.epage	300	en