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

机译:一种用于翼型基线天线变形测量的模糊网络方法

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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:高海拔长耐力无人驾驶飞行器(UAV)的发展正在接受越来越多的关注,并且在翼型的实时的高精度变形测量是翼型的长基线天线的实时性具有重要意义,以确保天线性能。根据模糊自结构的理论,提出了适用于翼型变形的实时测量的自动结构模糊网络变形测量(SSFNDM),以构建网络以近似应变与位移之间的关系自动地。还提出了静电负荷下铝翼型模型的变形测量​​实验。结果表明,SSFNDM具有高精度和快速训练,以提供翼型变形测量的新方法。

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