فناوری در مهندسی هوافضا

فناوری در مهندسی هوافضا

طراحی و مدل‌سازی دینامیکی ریزپرنده الهام‌گرفته از سنجاقک و تعیین بهینه‌ترین بال مصنوعی از نظر نسبت لیفت به درگ از طریق شبکه عصبی

نوع مقاله : علمی پژوهشی

نویسندگان
1 کارشناس ارشد مهندسی هوافضا گرایش سازه‌های هوایی، گروه مکانیک ، مؤسسه آموزش‌عالی احرار رشت، ایران
2 دانشجوی کارشناسی ارشد مهندسی هوافضا گرایش سازه‌های هوایی ،گروه هوافضا، دانشگاه سمنان، ایران
3 استاد، گروه دینامیک، کنترل و ارتعاشات، دانشکده مهندسی مکانیک، دانشگاه گیلان، رشت، ایران
چکیده
در این پژوهش، با الهام از مکانیزم پرواز پیچیده سنجاقک، یک ریزپرنده باقابلیت مانور بالا طراحی شده و یک ماکت اولیه از این ریزپرنده با بهره‌گیری از تکنولوژی پرینت سه‌بعدی تولید گردیده است. برای مدل‌سازی دقیق حرکت بال‌ها و دینامیک پرواز، از روش لاگرانژ استفاده شده و معادلات حرکت استخراج شده‌اند. به‌منظور تحلیل عمیق‌تر عملکرد آیرودینامیکی بال، از نرم‌افزار قدرتمند کامسول برای شبیه‌سازی جریان سیال اطراف بال استفاده شده‌است. توزیع فشار و سرعت بر روی سطح بال بادقت بالایی بررسی شده‌است. باهدف بهینه‌سازی هندسه بال و افزایش نسبت لیفت به درگ، یک شبکه عصبی مصنوعی چندلایه طراحی و آموزش‌داده‌شده‌است. داده‌های آموزشی این شبکه از نتایج شبیه‌سازی‌های دینامیک سیالات محاسباتی (CFD) استخراج شده‌اند. شبکه عصبی آموزش‌دیده، قادر است عملکرد آیرودینامیکی طرح‌های مختلف بال را بر اساس پارامترهای هندسی آن‌ها بادقت بالایی پیش‌بینی نماید. نتایج حاصل از شبیه‌سازی‌ها و فرایند بهینه‌سازی نشان می‌دهد که بال طراحی شده، عملکرد آیرودینامیکی به‌مراتب بهتری نسبت به مدل‌های قبلی دارد. این پژوهش گامی مهم در جهت توسعه نسل جدیدی از سیستم‌های پرنده کوچک و چابک با کاربردهای گسترده در زمینه‌های نظارتی، جستجو و نجات، و تحقیقات زیست‌شناسی به شمار می‌آید.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Design, Dynamic Modeling, and Neural Network Optimization of a Dragonfly-Inspired Micro Aerial Vehicle for Maximum Lift-to-Drag Ratio

نویسندگان English

Mehdi Pirkhandan Laskookelayeh 1
Hossein Rezaei Haghighi Miande, 2
Ahmad Bagheri 3
1 MSc. Aerospace Engineering, Aerial structures, Faculty of Mechanics, Ahrar University, Rasht ,Iran
2 MSc. Student in Aerospace Engineering ,Faculty of Aerospace, Semnan University, Iran
3 3. Department of Dynamics, Control, and Vibrations, Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran
چکیده English

Drawing inspiration from the complex flight mechanics of dragonflies, this study presents the design, modeling, and aerodynamic optimization of a highly maneuverable micro aerial vehicle (MAV). A functional prototype was fabricated using 3D printing technology. The MAV’s flight dynamics were modeled via the Lagrangian approach, and the governing equations of motion were systematically derived. To assess the aerodynamic behavior, fluid flow around the wing was simulated using COMSOL Multiphysics, allowing for a detailed analysis of pressure and velocity distributions along the wing surface. A multilayer artificial neural network was developed and trained using data from computational fluid dynamics simulations to optimize the wing geometry for maximum lift-to-drag ratio. The trained model accurately predicts aerodynamic performance across a range of wing configurations. Simulation results confirm that the optimized design significantly outperforms existing wing models in terms of aerodynamic efficiency. This research contributes to the advancement of bio-inspired MAVs with potential applications in surveillance, search and rescue operations, and biological exploration.

کلیدواژه‌ها English

Micro Aerial Vehicle (MAV)
Dragonfly
Dynamic modeling
Artificial Neural Network (ANN)
Aerodynamic optimization
[1] H. Vatandoost, "Dragonflies as an important aquatic predator insect and their potential for control of vectors of different diseases," Journal of Marine Science, vol. 3, no. 3, 2021, https://doi.org/10.30564/jms.v3i3.3397.
[2] E. Salami, T. A. Ward, E. Montazer, and N. N. N. Ghazali, "A review of aerodynamic studies on dragonfly flight," Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 233, no. 18, pp. 6519-6537, 2019, https://doi.org/10.1177/0954406219861133.
[3] R. A. Cannings, "The dragonflies and damselflies (Odonata) of Canadian grasslands," Arthropods of Canadian Grasslands, vol. 3, pp. 231-269, 2014, http://dx.doi.org/10.3752/9780968932162.ch8.
[4] K. G. Zurlytė, R. Gaidys, and B. Narijauskaite, "Biomechanical study of the wing of the dragonfly Aeshna Cyanea," Mechanics, vol. 30, no. 3, pp. 270-278, 2024,  https://doi.org/10.5755/j02.mech.36178.
[5] C. Suárez‐Tovar, R. Guillermo‐Ferreira, I. Cooper, R. Cezário, and A. Córdoba‐Aguilar, "Dragon colors: The nature and function of Odonata (dragonfly and damselfly) coloration," Journal of Zoology, vol. 317, no. 1, pp. 1-9, 2022, https://doi.org/10.1111/jzo.12963.
[6] A. Hajiloo, H. Shokohi, M. Ashtiani, and M. Ahadi, "Investigating the role of small birds in future wars," Strategic Defense Studies, vol. 20, no. 87, pp. 159-182, 2022, (in Persian), https://dorl.net/dor/20.1001.1.20084897.1401.20.87.7.3.
[7] J. Schmidhuber, "Deep learning in neural networks: An overview," Neural Networks, vol. 61, pp. 85-117, 2015,  https://doi.org/10.1016/j.neunet.2014.09.003.
[8] P. E. J. Duhamel, N. O. Pérez-Arancibia, G. L. Barrows, and R. J. Wood, "Altitude feedback control of a flapping-wing microrobot using an on-board biologically inspired optical flow sensor," in 2012 IEEE International Conference on Robotics and Automation, 2012, pp. 4228-4235, https://doi.org/10.1109/ICRA.2012.6225313.
[9] F. Van Breugel, W. Regan, and H. Lipson, "From insects to machines," IEEE Robotics and Automation Magazine, Vol. 15, No. 4, pp. 68-74, 2008, Https://Doi.Org/10.1109/MRA.2008.929923.
[10] Z. X. Li, W. Shen, G. S. Tong, J. M. Tian, and L. Vu-Quoc, "On the vein-stiffening membrane structure of a dragonfly hind wing," Journal of Zhejiang University-SCIENCE A, vol. 10, no. 1, pp. 72-81, 2009, https://doi.org/10.1631/jzus.A0820211.
[11] R. J. Wood, S. Avadhanula, R. Sahai, E. Steltz, and R. S. Fearing, "Microrobot design using fiber reinforced composites," Journal of Mechanical Design, vol. 130, no. 5, 2008, Art. no. 052304,  https://doi.org/10.1115/1.2885509.
[12] C. Dileo and X. Deng, "Design of and experiments on a dragonfly-inspired robot," Advanced Robotics, vol. 23, no. 7-8, pp. 1003-1021, 2009, https://doi.org/10.1163/156855309X443160.
[13] S. P. Sane and M. H. Dickinson, "The aerodynamic effects of wing rotation and a revised quasi-steady model of flapping flight," Journal of Experimental Biology, vol. 205, no. 8, pp. 1087-1096, 2002, https://doi.org/10.1242/jeb.205.8.1087.
[14] D. A. Peters, S. Karunamoorthy, and W. M. Cao, "Finite state induced flow models. I-Two-dimensional thin airfoil," Journal of Aircraft, vol. 32, no. 2, pp. 313-322, 1995, https://doi.org/10.2514/3.46718.
[15] X. Deng, L. Schenato, W. C. Wu, and S. S. Sastry, "Flapping flight for biomimetic robotic insects: Part I-system modeling," IEEE Transactions on Robotics, vol. 22, no. 4, pp. 776-788, 2006, https://doi.org/10.1109/TRO.2006.875480.
[16] J. Wakeling and C. P. Ellington, "Dragonfly flight: I. gliding flight and steady-state aerodynamic forces," Journal of Experimental Biology, vol. 200, no. 3, pp. 543-556, 1997, https://doi.org/10.1242/jeb.200.3.543.
[17] P. Szabo, G. H. McKinley, and C. Clasen, "Constant force extensional rheometry of polymer solutions," Journal of Non-Newtonian Fluid Mechanics, vol. 169, pp. 26-41, 2012, https://doi.org/10.1016/j.jnnfm.2011.11.003.
[18] T. X. Fan, S. K. Chow, and D. Zhang, "Biomorphic mineralization: From biology to materials," Progress in Materials Science, vol. 54, no. 5, pp. 542-659, 2009, https://doi.org/10.1016/j.pmatsci.2009.02.001.
[19] Z. Hu, B. Cheng, and X. Deng, "Lift generation and flow measurements of a robotic insect," in 49th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, 2012, Paper 2011-1311, https://doi.org/10.2514/6.2011-1311.
[20]  H. Ma et al., "HiFly-dragon: A dragonfly inspired flapping flying robot with modified, resonant, direct-driven flapping mechanisms," Drones, vol. 8, no. 4, 2024, Art. no. 126, https://doi.org/10.3390/drones8040126.
[21] H. Wang, Z. Cui, and T. Xu, "A study on design of dragonfly flapping wing micro air vehicle system," in International Conference on Electrical Drives, Power Electronics and Engineering (EDPEE), 2024: IEEE, pp. 252-258, https://doi.org/10.1109/EDPEE61724.2024.00055.
[22] I. Shafieenejad, M. R. B. Dehkordi, and M. Amin, "A review of the application of optimization algorithms nature inspired in the design of flight paths," Technology in Aerospace Engineering, vol. 8, no. 3, pp. 75-99, 2024, (in Persian), https://doi.org/10.22034/jtae.2024.8.3.6.
[23] S. H. Pourtakdoust and A. Khodabakhsh, "Modeling and Simulation of nonlinear dynamics using physics-informed deep neural networks," Journal of Technology in Aerospace Engineering, vol. 6, no. 4, pp. 25-36, 2023, (in Persian), https://doi.org/10.22034/jtae.2023.6.4.3.
[24] M. H. Moghimi Esfandabadi and M. H. Javareshkian, "Design and optimization of the wing fence of a lambda-shaped aircraft model to reduce the rolling moment coefficient," Journal of Technology in Aerospace Engineering, vol. 8, no. 2, pp. 13-25, 2024, (in Persian), https://doi.org/10.22034/jtae.2024.8.2.2.

  • تاریخ دریافت 28 آبان 1403
  • تاریخ بازنگری 04 دی 1403
  • تاریخ پذیرش 15 دی 1403
  • تاریخ اولین انتشار 20 اسفند 1403