<p>Flexible sensing array integrated with multiple sensors is an attractive approach for flight parameter detection. However, the poor resolution of flexible sensors and time-consuming neural network processes mitigate their accuracy and adaptability in predicting flight parameters. Here we present an ultra-thin flexible sensing patch with a new configuration, comprising a differential pressure sensor array and a vector flow velocity sensor. The capacitive differential pressure sensor array is fabricated by a multilayer polyimide bonding technique, reaching a resolution of 0.14 Pa. To solve flight parameters with the flexible sensing patch, we develop an analytical pressure-velocity fusion algorithm, enabling fast response and high accuracy in flight parameter detection. The average errors in calculating the angle of attack, angle of sideslip, and airspeed are 0.22°, 0.35°, and 0.73 m s<sup>−1</sup>, respectively. The high-resolution flexible sensors and novel analytical pressure-velocity fusion algorithm pave the way for flexible sensing patch-based air data sensing techniques.</p>

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An analytical pressure-velocity fusion algorithm-empowered flexible sensing patch for flight parameter detection

  • Yunfan Li,
  • Zihao Dong,
  • Zheng Gong,
  • Zhiqiang Ma,
  • Xin Ke,
  • Tianyu Sheng,
  • Xiaochang Yang,
  • Xilun Ding,
  • Yonggang Jiang

摘要

Flexible sensing array integrated with multiple sensors is an attractive approach for flight parameter detection. However, the poor resolution of flexible sensors and time-consuming neural network processes mitigate their accuracy and adaptability in predicting flight parameters. Here we present an ultra-thin flexible sensing patch with a new configuration, comprising a differential pressure sensor array and a vector flow velocity sensor. The capacitive differential pressure sensor array is fabricated by a multilayer polyimide bonding technique, reaching a resolution of 0.14 Pa. To solve flight parameters with the flexible sensing patch, we develop an analytical pressure-velocity fusion algorithm, enabling fast response and high accuracy in flight parameter detection. The average errors in calculating the angle of attack, angle of sideslip, and airspeed are 0.22°, 0.35°, and 0.73 m s−1, respectively. The high-resolution flexible sensors and novel analytical pressure-velocity fusion algorithm pave the way for flexible sensing patch-based air data sensing techniques.