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A fuzzy network method for the airfoil long baseline antenna deformation measurement

机译:翼型长基线天线变形测量的模糊网络方法

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摘要

The development of high-altitude long-endurance unmanned aerial vehicle (UAV) is receiving more and more attention, and a high precision deformation measurement in real time of the airfoil long baseline antenna is of great significance to ensure the antenna performance. According to the theory of fuzzy self-structure, a self-structuring fuzzy network deformation measurement (SSFNDM) which is suitable for the real-time measurement of the airfoil deformation is proposed to build a network to approximate the relationship between the strain and the displacement automatically. A deformation measurement experiment on the aluminum airfoil model under static load is also presented. The results show that the SSFNDM has a high accuracy and a fast speed for training to provide a new way for the airfoil deformation measurements.
机译:高空长寿命无人机的发展受到越来越多的关注,机翼长基线天线的实时高精度形变测量对保证天线性能具有重要意义。根据模糊自结构理论,提出了一种适用于翼型变形实时测量的自结构模糊网络变形测量方法(SSFNDM),以建立近似应变和位移关系的网络。自动。还提出了铝翼型模型在静态载荷下的变形测量​​实验。结果表明,SSFNDM具有很高的训练精度和速度,为翼型变形的测量提供了新的途径。

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