(华北电力大学 1. 电子与通信工程系;2. 河北省电力物联网技术重点实验室;3. 保定市光纤传感与光通信技术重点实验室, 河北 保定 071003)
(1. Dept. of Electronic and Communication Engineering;2. Hebei Key Leb. of Power Internet of Technol.;3. Baoding Key Lab. of Optical Fiber Sensing and Optical Communication Technol., North China Electric Power University, Baoding 071003, CHN)
Shape sensing technology is a new research direction in recent years and has a wide range of application prospects. In this paper, a shape reconstruction method based on strain mode mode and error compensation is proposed. By measuring the strain data of some position points of the object, the modal theory was used to realize the strain-displacement transformation, and then the shape of the object was reconstructed. In this paper, titanium alloy plates with length, width and height of 1000,1000 and 0.5mm were taken as the research object. The displacement mode and strain mode modes were obtained by ANSYS workbench 18 finite element simulation software. According to the modal similarity of position points in the finite element simulation, the K-means++ clustering algorithm was used to optimize the position of strain measuring points, and the strain deformation was generated by applying 400N force on the upper surface of the alloy plate. The shape reconstruction error of the proposed algorithm is smaller than that of the conventional uniform distribution algorithm. A Radial Basis Function Neural Network (RBFNN) was used to train the error and reconstructed displacement data set. According to reconstructed displacement prediction error, the fitting error was less than 3.5%.
尚秋峰,张晓旭.基于应变模态振型和误差补偿的形状重构方法[J].半导体光电,2023,44(4):605-608. SHANG Qiufeng, ZHANG Xiaoxu. Shape Reconstruction Method Based on Strain Mode Shape and Error Compensation[J].,2023,44(4):605-608.复制