Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO

Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO

The paper proposes a new adaptive PSO (NAPSO) that adaptively adjust the inertial weight of every particle according to its own current fitness. In NAPSO, the searching ability of each particle is controlled by the inertial weight. In pursuit of the optimal solution, if a particle has a rather small...

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Main Authors: Xiaoxia Tian, Jingwen Yan, Chi Xiao
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/2028196
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spelling doaj-f33aba1b054a41f4a2b81df1e5785e5b2020-11-24T22:05:33ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/20281962028196Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSOXiaoxia Tian0Jingwen Yan1Chi Xiao2Computer and Information Engineering College, Hanshan Normal University, Chaozhou 521041, ChinaCollege of Engineering, Shantou University, Shantou 515063, ChinaComputer and Information Engineering College, Hanshan Normal University, Chaozhou 521041, ChinaThe paper proposes a new adaptive PSO (NAPSO) that adaptively adjust the inertial weight of every particle according to its own current fitness. In NAPSO, the searching ability of each particle is controlled by the inertial weight. In pursuit of the optimal solution, if a particle has a rather small value of normalized fitness, it has a small inertia weight so as to increase local searching ability; on the contrary, it has a large inertia weight to increase global searching ability. Simulation results include three parts: the NAPSO shows fast convergence and good stability compared with other PSOs; the NAPSO shows good fit and short run-time compared with GA and GALMA; according to the identified parameters, the time history of predicted vertical displacement is quite in accordance with the time history of measured displacement. As far as the nonlinear VIVF model is concerned, the NAPSO is a simple and effective identification method.http://dx.doi.org/10.1155/2018/2028196
collection DOAJ
language English
format Article
sources DOAJ
author Xiaoxia Tian
Jingwen Yan
Chi Xiao
spellingShingle Xiaoxia Tian
Jingwen Yan
Chi Xiao
Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO
Mathematical Problems in Engineering
author_facet Xiaoxia Tian
Jingwen Yan
Chi Xiao
author_sort Xiaoxia Tian
title Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO
title_short Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO
title_full Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO
title_fullStr Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO
title_full_unstemmed Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO
title_sort parameter identification of the vortex-induced vertical force model using a new adaptive pso
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description The paper proposes a new adaptive PSO (NAPSO) that adaptively adjust the inertial weight of every particle according to its own current fitness. In NAPSO, the searching ability of each particle is controlled by the inertial weight. In pursuit of the optimal solution, if a particle has a rather small value of normalized fitness, it has a small inertia weight so as to increase local searching ability; on the contrary, it has a large inertia weight to increase global searching ability. Simulation results include three parts: the NAPSO shows fast convergence and good stability compared with other PSOs; the NAPSO shows good fit and short run-time compared with GA and GALMA; according to the identified parameters, the time history of predicted vertical displacement is quite in accordance with the time history of measured displacement. As far as the nonlinear VIVF model is concerned, the NAPSO is a simple and effective identification method.
url http://dx.doi.org/10.1155/2018/2028196
work_keys_str_mv AT xiaoxiatian parameteridentificationofthevortexinducedverticalforcemodelusinganewadaptivepso
AT jingwenyan parameteridentificationofthevortexinducedverticalforcemodelusinganewadaptivepso
AT chixiao parameteridentificationofthevortexinducedverticalforcemodelusinganewadaptivepso
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