Publication:
A numerical and experimental implementation and integration of Steiglitz–McBride algorithm with the frequency domain IIR filtering technique for active vibration control

dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorBaşdoğan, İpek
dc.contributor.kuauthorBoz, Utku
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T22:48:53Z
dc.date.issued2018
dc.description.abstractIn adaptive control applications for noise and vibration, finite mpulse response (FIR) or nfinite mpulse response (IIR) filter structures are used for online adaptation of the controller parameters. IIR filters offer the advantage of representing dynamics of the controller with smaller number of filter parameters than with FIR filters. However, the possibility of instability and convergence to suboptimal solutions are the main drawbacks of such controllers. An IIR filtering-based Steiglitz-McBride (SM) algorithm offers nearly-optimal solutions. However, real-time implementation of the SM algorithm has never been explored and application of the algorithm is limited to numerical studies for active vibration control. Furthermore, the prefiltering procedure of the SM increases the computational complexity of the algorithm in comparison to other IIR filtering-based algorithms. Based on the lack of studies about the SM in the literature, an SM time-domain algorithm for AVC was implemented both numerically and experimentally in this study. A methodology that integrates frequency domain IIR filtering techniques with the classic SM time-domain algorithm is proposed to decrease the computational complexity. Results of the proposed approach are compared with the classical SM algorithm. Both SM and the proposed approach offer multimodal vibration suppression and it is possible to predict the performance of the controller via simulations. The proposed hybrid approach ensures similar vibration suppression performance compared to the classical SM and offers computational advantage as the number of control filter parameters increases.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.issue6
dc.description.openaccessNO
dc.description.sponsoredbyTubitakEuN/A
dc.description.volume24
dc.identifier.doi10.1177/1077546316657502
dc.identifier.eissn1741-2986
dc.identifier.issn1077-5463
dc.identifier.scopus2-s2.0-85043587488
dc.identifier.urihttps://doi.org/10.1177/1077546316657502
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6414
dc.identifier.wos429889200005
dc.keywordsAdaptive control
dc.keywordsIIR filtering
dc.keywordsSteiglitz-McBride algorithm
dc.keywordsFrequency domain adaptive filtering
dc.keywordsHybrid form of IIR filtering
dc.keywordsactive vibration control
dc.keywordsX LMS Algorithm
dc.keywordsIdentification
dc.keywordsSuppression
dc.language.isoeng
dc.publisherSage Publications Ltd
dc.relation.ispartofJournal Of Vibration And Control
dc.subjectAcoustics
dc.subjectEngineering
dc.subjectMechanical engineering
dc.subjectMechanics
dc.titleA numerical and experimental implementation and integration of Steiglitz–McBride algorithm with the frequency domain IIR filtering technique for active vibration control
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorBoz, Utku
local.contributor.kuauthorBaşdoğan, İpek
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Mechanical Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
relation.isOrgUnitOfPublicationba2836f3-206d-4724-918c-f598f0086a36
relation.isOrgUnitOfPublication3fc31c89-e803-4eb1-af6b-6258bc42c3d8
relation.isOrgUnitOfPublication.latestForDiscoveryba2836f3-206d-4724-918c-f598f0086a36
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication434c9663-2b11-4e66-9399-c863e2ebae43
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

Files