Abstract

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.

Highlights

  • Plate structure is a common structure form of aircrafts and aerospace vehicles [1,2,3,4]. Shape reconstruction of such structure can be achieved by nonvisual methods using distributed fiber Bragg grating (FBG) sensors, which generally uses a FBG sensor network or a FBG sensor array [5,6,7]

  • The authors of [19] proposed a space curve shape reconstruction algorithm, but it is not suited for bend torsion coupling shape reconstruction

  • As the essence of all these shape reconstruction algorithms is doing data transformation from the original strain data acquired from the distributed FBG sensors, the dynamic analysis method proposed in signal processing area can be employed

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Summary

Introduction

Plate structure is a common structure form of aircrafts and aerospace vehicles [1,2,3,4]. Geometrical iteration method mentioned in [19, 25, 26] uses curvature data along a single direction and plane curve fitting algorithm to achieve shape reconstruction. These methods have good reconstruction performance for pure bending deformation, they are not suited for torsional deformation. Taking a one end fixed square flexible plate as experimental plate, a new dynamic data error analysis method is proposed based on LMS algorithm.

Orthogonal Curved Network Based Reconstruction Method
Establishing Orthogonal Curved Network and Moving
Experimental Smart FBG Plate
Dynamic Error Analysis Model
Parameter Identification and Reconstruction Error Analysis
Simulation and Experiment Platform
Simulation and Experiment Results
Findings
Conclusion
Full Text
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