Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/72890
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dc.contributor.authorZiv Branden_US
dc.contributor.authorMatthew O.T. Coleen_US
dc.date.accessioned2022-05-27T08:31:07Z-
dc.date.available2022-05-27T08:31:07Z-
dc.date.issued2022-03-01en_US
dc.identifier.issn15308138en_US
dc.identifier.issn1045389Xen_US
dc.identifier.other2-s2.0-85108189125en_US
dc.identifier.other10.1177/1045389X211023585en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85108189125&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/72890-
dc.description.abstractElastic vibration can arise in annular and thin-walled rotor structures, impacting on operating performance and the risk of failure. Feedback control to reduce flexural vibration can be realized using lightweight actuators and sensors embedded in the rotor structure. To design optimal controllers, rotating-frame models of both the structural dynamics and sources of excitation are required. This paper describes a solution to this problem for the case of an annular rotor equipped with piezo patch actuators and sensors. To account for space-fixed external excitation sources, a forcing function is considered involving specified spatial and frequency domain distributions. A model-based (Formula presented.) synthesis is used to compute optimal control solutions. These are tested experimentally on a thin-walled cylindrical steel rotor for cases with narrowband and broadband excitation sources, applied from the fixed frame. The results show that frequency-splitting within the rotating-frame dynamics plays a key role in predicting and controlling resonance. The effectiveness of the optimal control methodology in reducing circumferential vibration of the annular rotor is also confirmed.en_US
dc.subjectEngineeringen_US
dc.subjectMaterials Scienceen_US
dc.titlePiezo-based flexural vibration suppression for an annular rotor via rotating-frame H<inf>2</inf> control optimizationen_US
dc.typeJournalen_US
article.title.sourcetitleJournal of Intelligent Material Systems and Structuresen_US
article.volume33en_US
article.stream.affiliationsNuclear Research Center-Negeven_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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