Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure
Shape reconstruction of aerospace plate structure is an important issue for safe operation of aerospace vehicles. One way to achieve such reconstruction is by constructing smart fiber Bragg grating (FBG) plate structure with discrete distributed FBG sensor arrays using reconstruction algorithms in w...
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2016/5958073 |
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doaj-4f4f4cbc86fa4d97a7ba81db25f859be2020-11-24T21:03:04ZengHindawi LimitedShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/59580735958073Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate StructureHesheng Zhang0Xiaojin Zhu1Zhiyuan Gao2Kaining Liu3Zhaowen Li4School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, ChinaShape reconstruction of aerospace plate structure is an important issue for safe operation of aerospace vehicles. One way to achieve such reconstruction is by constructing smart fiber Bragg grating (FBG) plate structure with discrete distributed FBG sensor arrays using reconstruction algorithms in which error analysis of reconstruction algorithm is a key link. Considering that traditional error analysis methods can only deal with static data, a new dynamic data error analysis method are proposed based on LMS algorithm for shape reconstruction of smart FBG plate structure. Firstly, smart FBG structure and orthogonal curved network based reconstruction method is introduced. Then, a dynamic error analysis model is proposed for dynamic reconstruction error analysis. Thirdly, the parameter identification is done for the proposed dynamic error analysis model based on least mean square (LMS) algorithm. Finally, an experimental verification platform is constructed and experimental dynamic reconstruction analysis is done. Experimental results show that the dynamic characteristics of the reconstruction performance for plate structure can be obtained accurately based on the proposed dynamic error analysis method. The proposed method can also be used for other data acquisition systems and data processing systems as a general error analysis method.http://dx.doi.org/10.1155/2016/5958073 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hesheng Zhang Xiaojin Zhu Zhiyuan Gao Kaining Liu Zhaowen Li |
spellingShingle |
Hesheng Zhang Xiaojin Zhu Zhiyuan Gao Kaining Liu Zhaowen Li Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure Shock and Vibration |
author_facet |
Hesheng Zhang Xiaojin Zhu Zhiyuan Gao Kaining Liu Zhaowen Li |
author_sort |
Hesheng Zhang |
title |
Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure |
title_short |
Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure |
title_full |
Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure |
title_fullStr |
Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure |
title_full_unstemmed |
Dynamic Error Analysis Method for Vibration Shape Reconstruction of Smart FBG Plate Structure |
title_sort |
dynamic error analysis method for vibration shape reconstruction of smart fbg plate structure |
publisher |
Hindawi Limited |
series |
Shock and Vibration |
issn |
1070-9622 1875-9203 |
publishDate |
2016-01-01 |
description |
Shape reconstruction of aerospace plate structure is an important issue for safe operation of aerospace vehicles. One way to achieve such reconstruction is by constructing smart fiber Bragg grating (FBG) plate structure with discrete distributed FBG sensor arrays using reconstruction algorithms in which error analysis of reconstruction algorithm is a key link. Considering that traditional error analysis methods can only deal with static data, a new dynamic data error analysis method are proposed based on LMS algorithm for shape reconstruction of smart FBG plate structure. Firstly, smart FBG structure and orthogonal curved network based reconstruction method is introduced. Then, a dynamic error analysis model is proposed for dynamic reconstruction error analysis. Thirdly, the parameter identification is done for the proposed dynamic error analysis model based on least mean square (LMS) algorithm. Finally, an experimental verification platform is constructed and experimental dynamic reconstruction analysis is done. Experimental results show that the dynamic characteristics of the reconstruction performance for plate structure can be obtained accurately based on the proposed dynamic error analysis method. The proposed method can also be used for other data acquisition systems and data processing systems as a general error analysis method. |
url |
http://dx.doi.org/10.1155/2016/5958073 |
work_keys_str_mv |
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_version_ |
1716774289329356800 |