Parameter Optimization of a Bi-copter Type Unmanned Aerial Vehicle to Avoid Propeller-induced Vibrations During Hovering

Year 2020, Volume: 24 Issue: 4, 685 - 693, 01.08.2020

Halil Bahadır Akyıldız , İlyas Kacar , Mehmet Kursat Yalcın

https://doi.org/10.16984/saufenbilder.670170

Cited By: 3

Abstract

The vibration parameters of a bi-copter-type unmanned aerial vehicle is optimized by considering operational vibration with payloads. The double electric ducted fan loads, which transmit excitations to the fuselage, are predicted and compared using optimization methods. While the minimum vibration amplitude for stress will be achieved at 7.69 Hz, it will be 9.80 Hz. for minimum deformation without sacrificing safety factor requirement. It ensures sensitive vertical acceleration. It is not seen significant differences on results from screening and genetic algorithm methods. Correlations between frequencies and structural responses are determined. It is observed that the stress and deformation amplitudes of the structure decreases at increasing frequencies up to the next natural frequency. While the highest amplitude is seen at the first frequency, it decreases in increasing modes. The airframe structural model’s operational frequency must be 7.69 or 9.80 Hz to achieve sensitive vertical acceleration. Subsequently, it is aimed to develop an autonomous task by the implemented system controlled by various algorithm as a future work.

Keywords

Bi-copter, Tandem Rotor, Unmanned Aerial Vehicle, Genetic Algorithm, optimization

References

• [1] Wiktionary, “bicopter,” Access date: 29.01.2019, Update date: 11 December 2015, https://en.wiktionary.org/wiki/bicopter#English
• [2] Q. Zhang, Z. Liu, J. Zhao, and S. Zhang, “Modeling and attitude control of Bi-copter,” AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems, art. no. 7748042, pp. 172-176, 2016.
• [3] J. Yoon and J. Lee, “Altitude and roll control of a hovering quad-rotor air vehicle using the multi-objective approximate optimization of proportional–integral–differential control,” Engineering Optimization, vol. 49, no. 10, pp. 1704-1718, 2017.
• [4] C.M. Elias, O.M. Shehata, and E.I. Morgan, “Remote e-Lab towards an integrated cognitive experience,” International Conference on Developments in eSystems Engineering, DeSE 2, art. no. 7563658, pp. 332-337, 2015.
• [5] P.G. Subin, K.T Kautilya, G.S. Kumar, and A.V. Sai, “Stabilizing the bi-copter and controlling it using gesture technology,” International Journal of Control Theory and Applications, vol. 9, no. 15, pp. 7235-7245, 2016.
• [6] M. Verma, V. Lafarga, M. Baron, and C. Collette, “Active stabilization of unmanned aerial vehicle imaging platform,” Journal of Vibration and Control, vol. 0, no. 0, pp. 1–13, 2020.
• [7] A. Tullu, Y. Byun, J-N. Kim, and B-S. Kang, “Parameter optimization to avoid propeller-induced structural resonance of quadrotor type unmanned aerial vehicle,” Composite Structures. vol. 193, no. 2018, pp. 63-72, 2018.
• [8] G. J. DeSalvo and J.A. Swanson, “ANSYS engineering analysis system user's manual,” Houston, Pa., Swanson Analysis Systems, pp. 62-78, 1985.
• [9] I. Rechenberg, “Evolutionsstrategie: Optimierung technischer Systeme nach Prinzipien der biologischen Evolution,” Frommann‐Holzboog‐Verlag, Stuttgart, Broschiert, pp. 1-170, 1973.
• [10] J.H. Holland, “Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence,” University of Michigan Press, pp.1 183, 1975.
• [11] M.K Yalçın., İ.Kacar, and H.B. Akyıldız, “Design and implementation of a bi-copter driven by dual electric ducted fans using genetic algorithm optimization technic,” International conference on environment, technology and management (ICETEM), 27-29 June 2019, Niğde, Turkey, pp. 1203-1214. 2019.
• [12] M. Y. Ren and A. Vipradas, “ANSYS DOE and Design Optimization Tutorial,” Access date: 12.12.2019, Design Informatics Lab., School for Engineering of Matter, Transport and Energy, Arizona State University https://designinformaticslab.github.io/productdesign_tutorial/2016/11/20/ansys.html
• [13] J. Verbeke and S. Debruyne, “Vibration analysis of a UAV multirotor frame,” Proceedings of ISMA2016 including USD2016, pp. 2329-2338, 2016.
• [14] E. Camargo, N-J. Jacobsen., and D. Strafacci, “Operational modal analysis on a modified helicopter,” IMAC XXIX, pp.1-9, 2011.
• [15] P.V Sawalakhe and J.A. Shaaikh, “Simulation and analysis of a quadrotor UAV while landing,” International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 6, pp. 672-680, 2020.
• [16] N. Das, S. Das., D.K. Mishra, and K.M. Pandey, “Analysis of deformation and mode shape in the landing gear of light unmanned aerial vehicle,” NANOMTECH 2019, IOP Conf. Series: Journal of Physics: Conf. Series 1455 (2020) 012020, pp.1-5, 2020.