• Optics and Precision Engineering
  • Vol. 19, Issue 7, 1627 (2011)
ZHU Xiao-jin*, JIANG Li-na, SUN Bing, ZHANG He-sheng, and YI Jin-cong
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/ope.20111907.1627 Cite this Article
    ZHU Xiao-jin, JIANG Li-na, SUN Bing, ZHANG He-sheng, YI Jin-cong. Shape reconstruction of FBG intelligent flexible structure based on B-spline fitting[J]. Optics and Precision Engineering, 2011, 19(7): 1627 Copy Citation Text show less

    Abstract

    Three-dimensional curve fitting and reconstruction of an intelligent structure shape were researched to implement the active monitoring for a high-performance aircraft structure shape. Firstly, the B-spline curve fitting method and recursive algorithm for coordinate fitting were introduced, and algorithm processes and implementation steps as well as numerical simulation analysis were presented. Then, a flexible structure model and its experimental environment were established, and visualization software was developed based on the Visual C++ and OpenGL technology. Furthermore, the curvature detection principle of the orthogonal distributed Fiber Bragg Grating(FBG) sensor array was demonstrated, subsequently, the three-dimensional space shape fitting and reconstruction of the experiment model structure were analyzed and verified. Finally, B-spline fitting algorithm and linear interpolation algorithm were adopted separately to construct a standard circle with the radius of 50 cm. Experimental results show that B-spline fitting algorithm has better graphical reconstruction effects comparing with linear interpolation algorithm, and its standard deviation is 40% that of linear interpolation.As the FBG intelligent flexible structure shows the better shape reconstruction and visualization, it verifies the high precision and low error characteristics of the B-spline algorithm.
    ZHU Xiao-jin, JIANG Li-na, SUN Bing, ZHANG He-sheng, YI Jin-cong. Shape reconstruction of FBG intelligent flexible structure based on B-spline fitting[J]. Optics and Precision Engineering, 2011, 19(7): 1627
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