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Control of Plate Vibrations with Artificial Neural Networks and Piezoelectricity
Linnaeus University, Faculty of Technology, Department of Building Technology.ORCID iD: 0000-0003-0530-9552
2020 (English)In: Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting & Dynamic Environments Testing, 2020, Vol. 7Conference paper, Published paper (Other academic)
Abstract [en]

This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate response calculations. Piezoelectric patches are used on the plate, for which a neural network based control algorithm is formed and a neurocontroller is produced to calculate the required voltage to be applied on the actuator patch. The neurocontroller is trained and run with a Kalman Filter for controlling the structural response. The neurocontroller performance is assessed by comparing the controlled and uncontrolled structural responses when the plate is subjected to various excitations. It is shown that the acceleration response of the cantilever plate is suppressed considerably validating the efficacy of the neurocontroller and the success of the proposed methodology.

Place, publisher, year, edition, pages
2020. Vol. 7
National Category
Other Civil Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-89755OAI: oai:DiVA.org:lnu-89755DiVA, id: diva2:1362695
Conference
The 37th IMAC, A Conference and Exposition on Structural Dynamics
Available from: 2019-10-21 Created: 2019-10-21 Last updated: 2019-10-21

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Abdeljaber, Osama
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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