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Control of Plate Vibrations with Artificial Neural Networks and Piezoelectricity

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Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting & Dynamic Environments Testing, Volume 7

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering, Qatar University, Doha, Qatar

    Onur Avci & Osama Abdeljaber

  2. Department of Electrical Engineering, Qatar University, Doha, Qatar

    Serkan Kiranyaz

  3. Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA

    Daniel Inman

Authors
  1. Onur Avci
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  2. Osama Abdeljaber
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  3. Serkan Kiranyaz
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  4. Daniel Inman
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Corresponding author

Correspondence to Onur Avci .

Editor information

Editors and Affiliations

  1. PCB Piezotronics, Inc, Depew, NY, USA

    Chad Walber

  2. Engineering Dept, Tucker Bldg, Rm 200, Texas Christian University, Fort Worth, TX, USA

    Patrick Walter

  3. Saint Paul, MN, USA

    Steve Seidlitz

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Avci, O., Abdeljaber, O., Kiranyaz, S., Inman, D. (2020). Control of Plate Vibrations with Artificial Neural Networks and Piezoelectricity. In: Walber, C., Walter, P., Seidlitz, S. (eds) Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting & Dynamic Environments Testing, Volume 7. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-030-12676-6_26

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  • DOI: https://doi.org/10.1007/978-3-030-12676-6_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12675-9

  • Online ISBN: 978-3-030-12676-6

  • eBook Packages: EngineeringEngineering (R0)

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