Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/341697
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampSoubhia, Ana Luisa-
dc.contributor.authorunicampSerpa, Alberto Luiz-
dc.typeArtigopt_BR
dc.titleDiscrete optimization for positioning of actuators and sensors in vibration control using the simulated annealing methodpt_BR
dc.contributor.authorSoubhia, Ana Luisa-
dc.contributor.authorSerpa, Alberto Luiz-
dc.subjectDetectorespt_BR
dc.subjectVibração - Controlept_BR
dc.subject.otherlanguageDetectorspt_BR
dc.subject.otherlanguageVibration - Controlpt_BR
dc.description.abstractActuators and sensors can be allocated in mechanical systems using the analysis of the closed-loop system, i.e., the positioning problem can be integrated with the active control problem, leading to a more general optimization problem. This problem is, however, difficult to solve. In the case of the candidate locations being discrete positions, the optimal solution can be found using a combinatorial method, which may become impractical because the number of available candidate locations increases. Thus, the main contribution of this paper is to devise a systematic procedure based on the simulated annealing method to allocate active elements in discrete places, simultaneously with the controller design problem for multiple-input and multiple-output systems. For this, the H∞ norm of the closed-loop system was considered as objective function, and the controller was obtained using the Riccati equations. Results show that the proposed algorithm obtained the optimal solution with fewer iterations compared to the combinatorial methodpt_BR
dc.relation.ispartofJournal of the Brazilian Society of Mechanical Sciences and Engineeringpt_BR
dc.relation.ispartofabbreviationJ. Braz. Soc. Mech. Sci. Eng.pt_BR
dc.publisher.cityHeidelbergpt_BR
dc.publisher.countryAlemanhapt_BR
dc.publisherSpringerpt_BR
dc.date.issued2020-
dc.date.monthofcirculationJan.pt_BR
dc.language.isoengpt_BR
dc.description.volume42pt_BR
dc.description.issuenumber2pt_BR
dc.rightsFechadopt_BR
dc.sourceScopuspt_BR
dc.identifier.issn1678-5878pt_BR
dc.identifier.eissn1806-3691pt_BR
dc.identifier.doi10.1007/s40430-020-2189-6pt_BR
dc.identifier.urlhttps://link.springer.com/article/10.1007/s40430-020-2189-6pt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsorshipCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESpt_BR
dc.description.sponsordocumentnumber148669/2011−5pt_BR
dc.description.sponsordocumentnumber7749/13−9pt_BR
dc.date.available2020-05-19T14:25:38Z-
dc.date.accessioned2020-05-19T14:25:38Z-
dc.description.provenanceSubmitted by Thais de Brito Barroso (tbrito@unicamp.br) on 2020-05-19T14:25:38Z No. of bitstreams: 0en
dc.description.provenanceMade available in DSpace on 2020-05-19T14:25:38Z (GMT). No. of bitstreams: 0 Previous issue date: 2020en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/341697-
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentDepartamento de Mecânica Computacionalpt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.subject.keywordActive elements positioningpt_BR
dc.subject.keywordDiscrete optimizationpt_BR
dc.subject.keywordH∞ control and normpt_BR
dc.subject.keywordSimulated Annealing methodpt_BR
dc.identifier.source2-s2.0-85078425214pt_BR
dc.creator.orcidSem informaçãopt_BR
dc.creator.orcid0000-0001-7380-3099pt_BR
dc.type.formArtigo técnicopt_BR
dc.identifier.articleid101pt_BR
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