Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFIS
In this study, vibration control was achieved using macro fiber composite actuators initiated by feedback from polyvinylidene difluoride (PVDF) membrane sensors. First, the structure mode was found using the finite element method after which simulation of the effect of piezoelectric actuators on the...
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Series: | Journal of Low Frequency Noise, Vibration and Active Control |
Online Access: | https://doi.org/10.1177/1461348419872305 |
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doaj-c0cecac945064e5e9a50980b32b5ec7d2020-12-10T04:04:09ZengSAGE PublishingJournal of Low Frequency Noise, Vibration and Active Control1461-34842048-40462020-12-013910.1177/1461348419872305Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFISWen-Lin ChuChih-Jer LinMing-Jia LiIn this study, vibration control was achieved using macro fiber composite actuators initiated by feedback from polyvinylidene difluoride (PVDF) membrane sensors. First, the structure mode was found using the finite element method after which simulation of the effect of piezoelectric actuators on the structure as well as a feasibility investigation was carried out. The ANSYS Workbench was used for parametric design and to determine the best position for the actuators. Structure vibration in different modes was measured using PVDF membrane sensors for feedback control and to investigate the vibration reduction effect achieved with three individual controllers. The pros and cons of active vibration reduction control were also examined in several different modes. The experimental results obtained with several types of vibration reduction control were compared: Type-1 fuzzy control, Type-1 adaptive fuzzy control, and the vibration reduction effect of an adaptive neuro-fuzzy inference system. The results showed that the adaptive neuro-fuzzy inference system controller was the best choice under the experimental conditions used in this study.https://doi.org/10.1177/1461348419872305 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wen-Lin Chu Chih-Jer Lin Ming-Jia Li |
spellingShingle |
Wen-Lin Chu Chih-Jer Lin Ming-Jia Li Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFIS Journal of Low Frequency Noise, Vibration and Active Control |
author_facet |
Wen-Lin Chu Chih-Jer Lin Ming-Jia Li |
author_sort |
Wen-Lin Chu |
title |
Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFIS |
title_short |
Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFIS |
title_full |
Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFIS |
title_fullStr |
Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFIS |
title_full_unstemmed |
Active multimode vibration control of a smart structure using macro fiber composite actuators based on ANFIS |
title_sort |
active multimode vibration control of a smart structure using macro fiber composite actuators based on anfis |
publisher |
SAGE Publishing |
series |
Journal of Low Frequency Noise, Vibration and Active Control |
issn |
1461-3484 2048-4046 |
publishDate |
2020-12-01 |
description |
In this study, vibration control was achieved using macro fiber composite actuators initiated by feedback from polyvinylidene difluoride (PVDF) membrane sensors. First, the structure mode was found using the finite element method after which simulation of the effect of piezoelectric actuators on the structure as well as a feasibility investigation was carried out. The ANSYS Workbench was used for parametric design and to determine the best position for the actuators. Structure vibration in different modes was measured using PVDF membrane sensors for feedback control and to investigate the vibration reduction effect achieved with three individual controllers. The pros and cons of active vibration reduction control were also examined in several different modes. The experimental results obtained with several types of vibration reduction control were compared: Type-1 fuzzy control, Type-1 adaptive fuzzy control, and the vibration reduction effect of an adaptive neuro-fuzzy inference system. The results showed that the adaptive neuro-fuzzy inference system controller was the best choice under the experimental conditions used in this study. |
url |
https://doi.org/10.1177/1461348419872305 |
work_keys_str_mv |
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