Abstract
The measurement of wing dynamic deformation in morphing aircraft is crucial for achieving closed-loop control and evaluating structural safety. For variable-sweep wings with active large deformation, this paper proposes a novel videogrammetric method for full-field dynamic deformation measurement. A stereo matching method based on epipolar geometry constraint and topological constraint is presented to find the corresponding targets between stereo images. In addition, a new method based on affine transformation combined with adjacent closest point matching is developed, aiming to achieve fast and automatic tracking of targets in time-series images with large deformation. A calculation model for dynamic deformation parameters is established to obtain the displacement, sweep variable angle, and span variation. To verify the proposed method, a dynamic deformation measurement experiment is conducted on a variable-sweep wing model. The results indicate that the actual accuracy of the proposed method is approximately 0.02% of the measured area (e.g., 0.32 mm in a 1.6 m scale). During one morphing course, the sweep variable angle, the span variation and the displacement increase gradually, and then decrease. The maximum sweep variable angle is 36.6°, and the span variation is up to 101.13 mm. The overall configuration of the wing surface is effectively reconstructed under different morphing states.
摘要
变体飞行器机翼动态变形监测是实现闭环控制和评估结构安全性的关键. 针对具有主动大变形能力的变后掠机翼, 本文提出了 一种机翼全场三维动态变形摄像测量方法. 首先为匹配立体图像对应的同名特征点, 提出了一种基于极线约束结合拓扑约束的立体匹 配方法; 其次提出了一种基于仿射变换与邻近点匹配相结合的方法实现了大变形时序图像中特征点的快速自动跟踪; 最后建立动态变 形参数分析计算模型获得了位移、后掠变角和展长变化量. 通过开展变后掠翼模型动态变形测量实验验证了所提方法的有效性. 结果 表明, 所提方法的实际精度约为测量区域的0.02% (例如, 1.6 m尺度下为0.32 mm). 在一个变体历程中, 机翼后掠变角、展长变化量和位 移均先增后减, 后掠变角最大为36.6°, 展长变化量达到101.13 mm, 有效重建了机翼不同变体时的整体构型.
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References
B. Jenett, S. Calisch, D. Cellucci, N. Cramer, N. Gershenfeld, S. Swei, and K. C. Cheung, Digital morphing wing: Active wing shaping concept using composite lattice-based cellular structures, Soft Robot. 4, 33 (2017).
M. Di Luca, S. Mintchev, G. Heitz, F. Noca, and D. Floreano, Bioinspired morphing wings for extended flight envelope and roll control of small drones, Interface Focus 7, 20160092 (2017).
S. Barbarino, O. Bilgen, R. M. Ajaj, M. I. Friswell, and D. J. Inman, A review of morphing aircraft, J. Intel. Mat. Syst. Struct. 22, 823 (2011).
L. Chu, Q. Li, F. Gu, X. Du, Y. He, and Y. Deng, Design, modeling, and control of morphing aircraft: A review, Chinese J. Aeronaut. 35, 220 (2022).
J. Zhu, J. Yang, W. Zhang, X. Gu, and H. Zhou, Design and applications of morphing aircraft and their structures, Front. Mech. Eng. 18, 34 (2023).
J. B. Bai, T. W. Liu, G. H. Yang, C. C. Xie, and S. Mao, A variable camber wing concept based on corrugated flexible composite skin, Aerospace Sci. Tech. 138, 108318 (2023).
H. Yang, S. Jiang, Y. Wang, and H. Xiao, Design, kinematic and fluid-structure interaction analysis of a morphing wing, Aerosp. Sci. Tech. 143, 108721 (2023).
T. S. S. Versiani, F. J. Silvestre, A. B. Guimarães Neto, D. A. Rade, R. G. Annes da Silva, M. V. Donadon, R. M. Bertolin, and G. C. Silva, Gust load alleviation in a flexible smart idealized wing, Aerosp. Sci. Tech. 86, 762 (2019).
T. E. Noll, J. M. Brown, M. E. Perez-Davis, S. D. Ishmael, G. C. Tiffany, and M. Gaier, Investigation of the Helios Prototype Aircraft Mishap Volume I Mishap Report (NASA Langley Research Center, Hampton, 2004).
G. W. Reich, and B. P. Sanders, in Structural shape sensing for morphing aircraft: Proceedings of Smart Structures and Materials 2003 on Smart Structures and Integrated Systems, San Diego, 2003.
W. Akl, S. Poh, and A. Baz, Wireless and distributed sensing of the shape of morphing structures, Sensor. Actuat. A-Phys. 140, 94 (2007).
T. L. T. Lun, K. Wang, J. D. L. Ho, K. H. Lee, K. Y. Sze, and K. W. Kwok, Real-time surface shape sensing for soft and flexible structures using fiber bragg gratings, IEEE Robot. Autom. Lett. 4, 1454 (2019).
I. Floris, J. M. Adam, P. A. Calderón, and S. Sales, Fiber optic shape sensors: A comprehensive review, Optics Lasers Eng. 139, 106508 (2021).
L. Zhu, G. Sun, W. Bao, Z. You, F. Meng, and M. Dong, Structural deformation monitoring of flight vehicles based on optical fiber sensing technology: A review and future perspectives, Engineering 16, 39 (2022).
Y. Kostogorova-Beller, J. Whitford, K. Dudley, A. Menon, A. Chakravarthy, and J. Steck, A study on smart SansEC skin sensing for realtime monitoring of flexible structures, IEEE Sens. J. 18, 2836 (2018).
N. Nazeer, R. M. Groves, and R. Benedictus, Assessment of the measurement performance of the multimodal fibre optic shape sensing configuration for a morphing wing section, Sensors 22, 2210 (2022).
N. Nazeer, X. Wang, and R. M. Groves, Sensing, actuation, and control of the SmartX prototype morphing wing in the wind tunnel, Actuators 10, 107 (2021).
G. Sun, Y. Hu, Y. He, Y. Song, M. Dong, and L. Zhu, Stretchable sensing skin with S-shape multicore optical fiber implantation for morphing flight vehicles, Optik 199, 163088 (2019).
X. Pu, M. Liu, X. Chen, J. Sun, C. Du, Y. Zhang, J. Zhai, W. Hu, and Z. L. Wang, Ultrastretchable, transparent triboelectric nanogenerator as electronic skin for biomechanical energy harvesting and tactile sensing, Sci. Adv. 3, e1700015 (2017).
A. Hermanis, R. Cacurs, and M. Greitans, Acceleration and magnetic sensor network for shape sensing, IEEE Sens. J. 16, 1271 (2016).
Q. Yu, Z. Qiu, X. Sun, and H. Lu, Three dimensional movement measurement for the wing of a flying airplane, Acta Mech. Sin. 19, 575 (2003).
T. Liu, A. W. Burner, T. W. Jones, and D. A. Barrows, Photogrammetric techniques for aerospace applications, Prog. Aerosp. Sci. 54, 1 (2012).
Y. Fu, Y. Shang, W. Hu, B. Li, and Q. Yu, Non-contact optical dynamic measurements at different ranges: A review, Acta Mech. Sin. 37, 537 (2021).
X. Wu, and Z. Xu, Deflection monitoring of morphing winglet by binocular vision system with environment adaptability, Mech. Syst. Signal Process. 185, 109696 (2023).
F. Boden, N. Lawson, H. W. Jentink, and J. Kompenhans, Advanced in-Flight Measurement Techniques (Springer Berlin, Heidelberg, 2013).
P. Trisiripisal, M. Parks, L. Abbott, T. Liu, and G. Fleming, in Stereo analysis for vision-based guidance and control of aircraft landing: Proceedings of the 44th AIAA Aerospace Sciences Meeting and Exhibit, Reno, 2006.
A. Simpson, J. Rowe, S. Smith, and J. Jacob, in Aeroelastic deformation and buckling of inflatable wings under dynamic loads: Proceedings of the 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Hawaii, 2007.
M. M. A. Al-Isawi, and J. Z. Sasiadek, Control of flexible wing UAV using stereo camera, in: Aerospace Robotics III (Springer, Cham, 2019), pp. 97–120.
G. Sun, H. Li, M. Dong, X. Lou, and L. Zhu, RETRACTED: Optical fiber shape sensing of polyimide skin for a flexible morphing wing, Appl. Opt. 56, 9325 (2017).
R. Kress, in Variable sweep wing design: Proceedings of Aircraft Prototype and Technology Demonstrator Symposium, Dayton, 1983.
L. Zeng, L. Liu, X. Shao, and J. Li, Mechanism analysis of hysteretic aerodynamic characteristics on variable-sweep wings, Chin. J. Aeronaut. 36, 212 (2023).
Z. Zhang, A flexible new technique for camera calibration, IEEE Trans. Pattern Anal. Machine Intell. 22, 1330 (2000).
Y. Liu, X. Su, X. Guo, T. Suo, and Q. Yu, A novel concentric circular coded target, and its positioning and identifying method for vision measurement under challenging conditions, Sensors 21, 855 (2021).
C. Harris, and M. Stephens, in A combined corner and edge detector: Proceedings of Alvey vision conference, Manchester, 1988.
R. Hartley, Multiple View Geometry in Computer Vision (Cambridge University Press, New York, 2003).
M. Ye, J. Liang, L. Li, B. Qian, M. Ren, M. Zhang, W. Lu, and Y. Zong, Full-field motion and deformation measurement of high speed rotation based on temporal phase-locking and 3D-DIC, Opt. Laser. Eng. 146, 106697 (2021).
M. A. Fischler, and R. C. Bolles, Random sample consensus, Commun. ACM 24, 381 (1981).
P. D. Lin, and C. K. Sung, Comparing two new camera calibration methods with traditional pinhole calibrations, Opt. Express 15, 3012 (2007).
Y. Kineri, M. Wang, H. Lin, and T. Maekawa, B-spline surface fitting by iterative geometric interpolation/approximation algorithms, Comput. Aided Design 44, 697 (2012).
Verein Deutscher Ingenieure: VDI/VDE 2634-1, Optical 3D measuring systems: Imaging systems with point-by-point probing.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 12202282).
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Author contributions Liqiang Gao designed the research, performed the experiments, processed the experiment data, and wrote the original draft of the manuscript. Yan Liu acquired financial support, designed the research, and revised the manuscript. Bin Jiang and Zhendong Ge set up the experimental device. Haoyang Li performed the experiments. Xiang Guo helped organize the manuscript. Tao Suo reviewed the manuscript. Qifeng Yu secured financial support, provided experimental resources, and reviewed the final version.
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Gao, L., Liu, Y., Jiang, B. et al. A novel videogrammetry-based full-field dynamic deformation monitoring method for variable-sweep wings. Acta Mech. Sin. 40, 423639 (2024). https://doi.org/10.1007/s10409-024-23639-x
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DOI: https://doi.org/10.1007/s10409-024-23639-x