Integrated Sensing,Computing and Intelligent Monitoring for MorphingWing Shapes

Shape sensing of morphing wings is essential for enabling real-time aerodynamic control in next-generation aircraft. It plays a pivotal role in enhancing performance, reducing fuel consumption, and improving stealth capabilities, with extensive demand in both low-altitude economy and defense sectors. However, the efficient implementation of morphing wing shape sensing still faces three major challenges: the complex wiring and maintenance difficulties of wired sensor networks in practical applications; the high computational load and real-time limitations of deformation reconstruction algorithms; and the lack of optimization strategies for multi-dimensional performance in the sensing system. To address these issues, this project focus on two key areas: the intelligent wireless sensing technology and the advanced deformation reconstruction algorithm. First, low-power wireless sensing units will be developed, along with an efficient networking protocol and a robust transmission mechanism, to reduce the complexity and maintenance requirements of the sensing network. Additionally, a scaled-boundary inverse finite element theory will be established to improve the computational efficiency and accuracy of the deformation reconstruction algorithm. Furthermore, a multi-parameter optimization model for deformation reconstruction, considering the interplay between frequency, accuracy, and energy efficiency, will be constructed to achieve intelligent optimization and multi-dimensional performance adaptive control of the sensing system under energy constraints. This project aims to realize integrated “Sensing-Computing-Intelligent ” monitoring for morphing wing shapes, providing a solid theoretical foundation and key technological breakthroughs for the development of next-generation aircraft.