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- Title
Morphological Reconstruction for Variable Wing Leading Edge Based on the Node Curvature Vectors.
- Authors
Zeng, Jie; Zhu, Qingfeng; Zhao, Yueqi; Wang, Zhigang; Yang, Yu; Wu, Qi; Cui, Jinpeng
- Abstract
Precise morphology acquisition for the variable wing leading edge is essential for its bio-inspired adaptive control. Therefore, this study proposes a morphological reconstruction method for the variable wing leading edge, utilizing the node curvature vectors-based curvature propagation method (NCV-CPM). By establishing a strain–arc curvature function, the method fundamentally mitigates the impact of surface curvature angle on curvature computation accuracy at sensing points. We introduce a technique that uses high-order curvature fitting functions to determine the curvature vectors of arc segment nodes. This method reduces cumulative errors in curvature computation linked to the linear interpolation-based curvature propagation method (LI-CPM) at unattached sensor positions. Integrating curvature–strain functions aids in wing leading-edge strain field reconstruction, supporting structural health monitoring. Additionally, a particle swarm algorithm optimizes the sensing point distribution, reducing network complexity. This study demonstrates significantly enhanced morphological reconstruction accuracy compared to those obtained with conventional LI-CPM.
- Subjects
CURVATURE; STRUCTURAL health monitoring; ADAPTIVE control systems; SENSOR placement; POSITION sensors
- Publication
Biomimetics (2313-7673), 2024, Vol 9, Issue 4, p250
- ISSN
2313-7673
- Publication type
Article
- DOI
10.3390/biomimetics9040250