Research Article
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Investigation of Visual Disappearance by Intelligent Illumination of Exterior Surfaces of Unmanned Aerial Vehicles

Year 2022, Volume: 6 Issue: 1, 26 - 32, 23.03.2022
https://doi.org/10.30518/jav.1049261

Abstract

Nowadays the elimination of the visual trace is very important, especially for the low altitude unmanned ait vehicles (UAVs) to protect from their enemy targets. For UAVs, which are widely used in both civil aviation and military fields, the issues of being undetected by visual and auditory and radar are have critical importance. For this reason, visual trace destruction has been taken into consideration at this work. For this purpose, the design of the UAV with the intelligent illumination system and disappearance technology in the desired environment has been discussed. For this purpose, a UAV with a weight of 2,5 kg, a wingspan of 1,3 m, a length of 1 m, with a brushless electric motor, mid-range, medium-height, and moderately hovering features has been produced. Lighting system equipment is placed on the fuselage, wing and tail structure of the UAV. Flight tests were carried out by installing the appropriate lighting system in order to give the UAV the ability to disappear. In the application study on the examination of the disappearance of UAV’s by intelligent illumination of the outer surfaces, the design of the Intelligent illumination system and the application of the outer surface lighting were carried out.

Supporting Institution

Erciyes üniversitesi

Project Number

FYL-2020-9556

Thanks

This study was supported by the Scientific Research Projects Unit of Erciyes University with the FYL-2020-9556 project code. Thank you for supports.

References

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  • Avanzini, G. and Giulietti, F. (2013), Maximum Range for Battery-powered Aircraft, Journal of Aircraft, 50(1): 304-307.
  • Barrett, R. and Melkert, J. (2005), UAV Visual Signature Suppression Via Adaptive Materials, Proceedings of SPIE, 5762.
  • Blackwell, H. R., (1964), Contrast Thresholds of the Human Eye, Journal of the Optical Society of America, 36(11). Bo-Wen, W. and Fangb, Y. and Changa, L. (2009), Study on Human Vision Model of the Multi-parameter Correction Factor. Proc. of SPIE, 74-96.
  • Chamaidi, T. (2006), Calibrated Sky Luminance Maps for Daylight Simulation. Technical University Vienna-Continuing Education, Center, Austria.
  • Coban, S. and Oktay, T. (2018). Simultaneous Design of a Small UAV (Unmanned Aerial Vehicle) Flight Control System and Lateral State Space Model. Journal of Aviation , 2(2) , 70-76 .
  • Coban, S. and Oktay, T. (2018). Unmanned Aerial Vehicles (UAVs) According to Engine Type,. Journal of Aviation , 2 (2) , 177-184 .
  • Gordon, J., (1964), Visibility: Optical Properties of Objects and Backgrounds, Applied Optics, 3(5)
  • Gur, O. and Rosen, A. (2009), Optimizing Electric Propulsion Systems for Unmanned Aerial Vehicles, Journal of Aircraft, 46(4), 1340-1353.
  • Hambling, D. (2020), Cloak of Light Makes Drone Invisible. https://www.wired.com/2008/05/ invisible-drone/. [Access date: 15-June-2021]
  • Hsu, Y. and Thomas, L. and Boubacar, K. (2015) Extremely Thin Dielectric Meta Surface for Carpet Cloaking. Progress in Electromagnetics Research, 152, 33–40.
  • Igawa, N. and Hiroshi, N. and Kunio, M. (1999), Sky Luminance Distribution Model for Simulation of Daylit Environment. Proceedings of Building Simulation, Kyoto, Japan, 2, 969-975.
  • Kekec, E.T. and Konar, M. and Yildirim Dalkiran, F. (2020), Realization of Low Cost Useful Variometer Application for Sportive Aviation, Journal of Aviation, 4(1), 79-88.
  • Kekeç, E. T. and Konar, M. (2021). Investigation of Aerodynamic Calculations of Wingsuit Jumps with Fixed Angle of Attack . Journal of Aviation , 5 (1) , 1-8
  • Konar, M. (2020), Simultaneous Determination of Maximum Acceleration and Endurance of Morphing UAV with ABC Algorithm-based Model, Aircraft Engineering and Aerospace Technology, 92(4), 579-586.
  • Konar, M. (2019), Redesign of Morphing UAV’s Winglet using DS Algorithm Based ANFIS Model, Aircraft Engineering and Aerospace Technology, 91(9), 1214-1222.
  • Konar, M. and Turkmen, A. and Oktay T. (2020), Improvement of the Thrust-torque Ratio of an Unmanned Helicopter by using the ABC Algorithm, Aircraft Engineering and Aerospace Technology, 92(8), 1133-1139.
  • Macheret, J. and Teichman, J., and Kraig R., (2011), Conceptual Design of Low-Signature High- Endurance Hybrid-Electric UAV. Institute for Defense Analyses, Alexandria Virginia.
  • Koçkanat S., (2020), Acceleration Harmonics Estimation and elimination with MABC–RLS algorithm: Simulation and Experimental Analyses on Shaking Table, Applied Soft Computing Journal, 92(12).
  • Koçkanat S. and Karaboğa N. (2015), A Novel 2D-ABC Adaptive Filter Algorithm: A Comparative Study, Digital Signal Processing, 40, 140-153.
  • Oktay, T. and Konar, M. and Onay, M. and Aydin, M. and Mohamed, M. A. (2016), Simultaneous Small UAV and Autopilot System Design. Aircraft Engineering and Aerospace Technology, 88(6), 818-834.
  • Traub, L. W. (2011), Range and Endurance Estimates for Battery-powered Aircraft, Journal of Aircraft, 48(2), 703-707.
  • Y. Dalkiran, F. and Gencag, M. S. (2021), Increasing the Stabilization of Unmanned Aerial Vehicle in Global Navigation Satellite System Unavailable Areas, Journal of Aviation, 5(1), 36-44.
Year 2022, Volume: 6 Issue: 1, 26 - 32, 23.03.2022
https://doi.org/10.30518/jav.1049261

Abstract

Project Number

FYL-2020-9556

References

  • Austin, R. (2010), Unmanned Aircraft Systems. Wiltshire, United Kingdom: Wiley.
  • Avanzini, G. and Giulietti, F. (2013), Maximum Range for Battery-powered Aircraft, Journal of Aircraft, 50(1): 304-307.
  • Barrett, R. and Melkert, J. (2005), UAV Visual Signature Suppression Via Adaptive Materials, Proceedings of SPIE, 5762.
  • Blackwell, H. R., (1964), Contrast Thresholds of the Human Eye, Journal of the Optical Society of America, 36(11). Bo-Wen, W. and Fangb, Y. and Changa, L. (2009), Study on Human Vision Model of the Multi-parameter Correction Factor. Proc. of SPIE, 74-96.
  • Chamaidi, T. (2006), Calibrated Sky Luminance Maps for Daylight Simulation. Technical University Vienna-Continuing Education, Center, Austria.
  • Coban, S. and Oktay, T. (2018). Simultaneous Design of a Small UAV (Unmanned Aerial Vehicle) Flight Control System and Lateral State Space Model. Journal of Aviation , 2(2) , 70-76 .
  • Coban, S. and Oktay, T. (2018). Unmanned Aerial Vehicles (UAVs) According to Engine Type,. Journal of Aviation , 2 (2) , 177-184 .
  • Gordon, J., (1964), Visibility: Optical Properties of Objects and Backgrounds, Applied Optics, 3(5)
  • Gur, O. and Rosen, A. (2009), Optimizing Electric Propulsion Systems for Unmanned Aerial Vehicles, Journal of Aircraft, 46(4), 1340-1353.
  • Hambling, D. (2020), Cloak of Light Makes Drone Invisible. https://www.wired.com/2008/05/ invisible-drone/. [Access date: 15-June-2021]
  • Hsu, Y. and Thomas, L. and Boubacar, K. (2015) Extremely Thin Dielectric Meta Surface for Carpet Cloaking. Progress in Electromagnetics Research, 152, 33–40.
  • Igawa, N. and Hiroshi, N. and Kunio, M. (1999), Sky Luminance Distribution Model for Simulation of Daylit Environment. Proceedings of Building Simulation, Kyoto, Japan, 2, 969-975.
  • Kekec, E.T. and Konar, M. and Yildirim Dalkiran, F. (2020), Realization of Low Cost Useful Variometer Application for Sportive Aviation, Journal of Aviation, 4(1), 79-88.
  • Kekeç, E. T. and Konar, M. (2021). Investigation of Aerodynamic Calculations of Wingsuit Jumps with Fixed Angle of Attack . Journal of Aviation , 5 (1) , 1-8
  • Konar, M. (2020), Simultaneous Determination of Maximum Acceleration and Endurance of Morphing UAV with ABC Algorithm-based Model, Aircraft Engineering and Aerospace Technology, 92(4), 579-586.
  • Konar, M. (2019), Redesign of Morphing UAV’s Winglet using DS Algorithm Based ANFIS Model, Aircraft Engineering and Aerospace Technology, 91(9), 1214-1222.
  • Konar, M. and Turkmen, A. and Oktay T. (2020), Improvement of the Thrust-torque Ratio of an Unmanned Helicopter by using the ABC Algorithm, Aircraft Engineering and Aerospace Technology, 92(8), 1133-1139.
  • Macheret, J. and Teichman, J., and Kraig R., (2011), Conceptual Design of Low-Signature High- Endurance Hybrid-Electric UAV. Institute for Defense Analyses, Alexandria Virginia.
  • Koçkanat S., (2020), Acceleration Harmonics Estimation and elimination with MABC–RLS algorithm: Simulation and Experimental Analyses on Shaking Table, Applied Soft Computing Journal, 92(12).
  • Koçkanat S. and Karaboğa N. (2015), A Novel 2D-ABC Adaptive Filter Algorithm: A Comparative Study, Digital Signal Processing, 40, 140-153.
  • Oktay, T. and Konar, M. and Onay, M. and Aydin, M. and Mohamed, M. A. (2016), Simultaneous Small UAV and Autopilot System Design. Aircraft Engineering and Aerospace Technology, 88(6), 818-834.
  • Traub, L. W. (2011), Range and Endurance Estimates for Battery-powered Aircraft, Journal of Aircraft, 48(2), 703-707.
  • Y. Dalkiran, F. and Gencag, M. S. (2021), Increasing the Stabilization of Unmanned Aerial Vehicle in Global Navigation Satellite System Unavailable Areas, Journal of Aviation, 5(1), 36-44.
There are 23 citations in total.

Details

Primary Language English
Subjects Aerospace Engineering
Journal Section Research Articles
Authors

Mesut Bilgin 0000-0001-8826-6951

Mehmet Konar 0000-0002-9317-1196

Project Number FYL-2020-9556
Publication Date March 23, 2022
Submission Date December 27, 2021
Acceptance Date March 18, 2022
Published in Issue Year 2022 Volume: 6 Issue: 1

Cite

APA Bilgin, M., & Konar, M. (2022). Investigation of Visual Disappearance by Intelligent Illumination of Exterior Surfaces of Unmanned Aerial Vehicles. Journal of Aviation, 6(1), 26-32. https://doi.org/10.30518/jav.1049261

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