Optimal configuration of sensors in active vibration control
Optimal configuration of sensors in active vibration control
In this paper an investigation of a new formulation for active vibration control, which based on the optimal positions of piezoelectric sensors. The free vibration and modal properties are derived from the classical plate theory by using finite element method. A criterion is proposed to optimise the location of piezoelectric patches based on the observability Gramian of the structure and applied to a simply supported plate. The genetic algorithm is used to realise the optimal fitness function for finding the optimal configuration. The numerical simulation demonstrates that by locating piezoelectric sensors in the optimal positions, the energy delivery efficiency of the structure increases effectively.
Nanjing University of Aeronautics & Astronautics
Zhang, Jaiying
076d7c3e-2c9f-42c9-8174-36c04c71dcfc
Li, Xuan
ed01c0d5-68e0-4abe-8642-5b9ebf153314
2016
Zhang, Jaiying
076d7c3e-2c9f-42c9-8174-36c04c71dcfc
Li, Xuan
ed01c0d5-68e0-4abe-8642-5b9ebf153314
Zhang, Jaiying and Li, Xuan
(2016)
Optimal configuration of sensors in active vibration control.
In Proceedings of the International Academic Conference for Graduates.
Nanjing University of Aeronautics & Astronautics..
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this paper an investigation of a new formulation for active vibration control, which based on the optimal positions of piezoelectric sensors. The free vibration and modal properties are derived from the classical plate theory by using finite element method. A criterion is proposed to optimise the location of piezoelectric patches based on the observability Gramian of the structure and applied to a simply supported plate. The genetic algorithm is used to realise the optimal fitness function for finding the optimal configuration. The numerical simulation demonstrates that by locating piezoelectric sensors in the optimal positions, the energy delivery efficiency of the structure increases effectively.
This record has no associated files available for download.
More information
Published date: 2016
Identifiers
Local EPrints ID: 498001
URI: http://eprints.soton.ac.uk/id/eprint/498001
PURE UUID: b86350bc-110d-473a-8c9d-7d56929298f7
Catalogue record
Date deposited: 05 Feb 2025 18:18
Last modified: 06 Feb 2025 03:15
Export record
Contributors
Author:
Jaiying Zhang
Author:
Xuan Li
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics