Improving performance of a nonlinear absorber applied to a variable length pendulum using surrogate optimization
Improving performance of a nonlinear absorber applied to a variable length pendulum using surrogate optimization
The paper investigates a nonlinear vibration mitigation strategy of a variable length pendulum subjected to a harmonic external excitation. A nonlinear absorber in a form of a tri-pendulum system is used to reduce the response of the primary pendulum. Thus, the paper investigates a non-stationary problem of nonlinear vibration mitigation of the primary pendulum using another nonlinear passive pendulum absorber. Due to genuine interest in capturing the nonlinear dynamic interaction, the paper numerically studies the performance of the primary mass and absorber, first, by constructing 2D maps in the unrestrained parametric space, which demonstrate the qualitative behavior of the system. Then, the surrogate optimization technique is used to tune the absorber’s parameters within a given bounded set of parameters’ values. The optimization is conducted based on a priori known reeling speed or acceleration/deceleration of the primary pendulum, thereby completely removing the need for acquiring a current system states essential for active feedback control. The obtained numerical results validate the proposed strategy and demonstrate high performance of the nonlinear passive absorber when it is properly tuned.
Crane’s payload vibration, Passive nonlinear absorber, Nonlinear Energy Sink, Pendulum absorber, Pendulum vibrations mitigation, Surrogate optimization
Gaidai, Oleg
258bf054-5f95-44e8-8e7a-ff2b18cee3a5
Wu, Yu
c14ef885-4b75-4325-9fa2-232d07373cc1
Yegorov, Ivan
31869fd4-0607-4d5a-9652-87d573beb51b
Alevras, Panagiotis
59f56e8d-6e07-47cf-8a74-2761ecd74c69
Wang, Junlei
d55dc6d0-734d-46e1-bedd-5ecc18df8702
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
Gaidai, Oleg
258bf054-5f95-44e8-8e7a-ff2b18cee3a5
Wu, Yu
c14ef885-4b75-4325-9fa2-232d07373cc1
Yegorov, Ivan
31869fd4-0607-4d5a-9652-87d573beb51b
Alevras, Panagiotis
59f56e8d-6e07-47cf-8a74-2761ecd74c69
Wang, Junlei
d55dc6d0-734d-46e1-bedd-5ecc18df8702
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
Gaidai, Oleg, Wu, Yu, Yegorov, Ivan, Alevras, Panagiotis, Wang, Junlei and Yurchenko, Daniil
(2022)
Improving performance of a nonlinear absorber applied to a variable length pendulum using surrogate optimization.
Incarceration.
(doi:10.1177/10775463221142663).
Abstract
The paper investigates a nonlinear vibration mitigation strategy of a variable length pendulum subjected to a harmonic external excitation. A nonlinear absorber in a form of a tri-pendulum system is used to reduce the response of the primary pendulum. Thus, the paper investigates a non-stationary problem of nonlinear vibration mitigation of the primary pendulum using another nonlinear passive pendulum absorber. Due to genuine interest in capturing the nonlinear dynamic interaction, the paper numerically studies the performance of the primary mass and absorber, first, by constructing 2D maps in the unrestrained parametric space, which demonstrate the qualitative behavior of the system. Then, the surrogate optimization technique is used to tune the absorber’s parameters within a given bounded set of parameters’ values. The optimization is conducted based on a priori known reeling speed or acceleration/deceleration of the primary pendulum, thereby completely removing the need for acquiring a current system states essential for active feedback control. The obtained numerical results validate the proposed strategy and demonstrate high performance of the nonlinear passive absorber when it is properly tuned.
Text
Crane_moving_payload
- Accepted Manuscript
More information
Accepted/In Press date: 3 November 2022
e-pub ahead of print date: 2 December 2022
Keywords:
Crane’s payload vibration, Passive nonlinear absorber, Nonlinear Energy Sink, Pendulum absorber, Pendulum vibrations mitigation, Surrogate optimization
Identifiers
Local EPrints ID: 474731
URI: http://eprints.soton.ac.uk/id/eprint/474731
ISSN: 2632-6663
PURE UUID: c97c2da3-7edd-46b5-92a6-884db3b80154
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Date deposited: 02 Mar 2023 17:36
Last modified: 17 Mar 2024 04:11
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Contributors
Author:
Oleg Gaidai
Author:
Yu Wu
Author:
Ivan Yegorov
Author:
Panagiotis Alevras
Author:
Junlei Wang
Author:
Daniil Yurchenko
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