Araştırma Makalesi
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Problems and Prospects of Flying Rotor Drones Particularly Quadcopters

Yıl 2022, , 1 - 7, 30.06.2022

D. Vohra , Pradeep Garg Sanjay Ghosh

https://doi.org/10.51534/tiha.1068613
Cited By: 3

Öz

Rotor type drones are used as a source for acquiring intelligence from areas which are remotely located. This intelligence can be used for ensuring crop insurance, knowing post-disaster assessments, knowing information of restricted security zones, etc. Apart from various advantages, rotor type drones, like quadcopters, have certain drawbacks also. These drawbacks need to be researched and addressed in detail so that the information can be acquired in a manner which is deliberate and very effective, while obtaining information from various sensors attached to the drones. These drawbacks are the problems pertaining to sound of propellers, selection of flight controller, power management issues, flying in non-conducive weather, collision avoidance, videography during night and extended communication ranges, which have been discussed in this paper.

Anahtar Kelimeler

UAV Drone Power Management Flight Controller Acoustic Signature

Kaynakça

  • Abdelwahid, B., Marija, S., Lamine, R., Zoran, R. & Takieddine, M. (2019). UAV aerodynamic design involving genetic algorithm and artificial neural network for wing preliminary computation. Aerospace Science and Technology, 84, 464-83, https://doi.org/10.1016/j.ast.2018.09.043
  • Ali, R., Mohammed, R., Muhammad, T. & Kim, S.H. (2018). Development of Intelligent Drone Battery Charging System based on Wireless Power Transmission. MDPI Journal on Application Systems, 1(4), 44.
  • Arribas, E. & Mancuso, V. (2019). Fair cellular throughput optimization with the aid of coordinated drones. Proc. MiSARN
  • Aswini, N., Kumar, E. K. & Uma, S.V. (2018). UAV’s obstacle sensing techniques – a perspective. International Journal of Intelligent Unmanned Systems, 6, 32-46, https://doi.org/10.1108/IJIUS-11-2017-0013
  • Baris, O., Majumder, S. & Strøm, T. B. (2019). Demonstration of a Time-predictable Flight Controller on a Multicore Processor. ISORC, https://doi.org/10.1109/ISORC.2019.00029
  • Bürkle, A. (2009). Collaborating miniature drones for surveillance and reconnaissance. Proc of SPIE 7480, Unmanned/ Unattended Sensors and Sensor Networks VI, 74800H (24 September 2009), https://doi: 10.1117/12.830408
  • Cai, G., Jorge, D. & Lakmal, S. (2014). A survey of small-scale unmanned aerial vehicles: Recent advances and future development trends. Journal on Unmanned Systems, 2(2), 175-199,
  • Chen, J., Liu. T. & Shen, S. (2016). Online generation of collision-free trajectories for quadrotor flight in unknown cluttered environments. ICRA, https://doi.org/10.1109/ICRA.2016.7487283
  • Chen, J. & Liu, T. (2016). Tracking a moving target in cluttered environments. IROS, https://doi.org/10.1109/IROS.2016.7759092
  • Devos, A., Ebeid, E. & Manoonpong, P. (2021). Development of Autonomous Drones for Adaptive Obstacle Avoidance. DSD, https://doi.org/10.1109/DSD.2018.00009
  • Ding, J., Fan, Q., Luo, D. & Shen, X. (2014). Research of A Multi-UAV Flight Controller. Conference on Control & Automation (ICCA), https://doi.org/10.1109/ICCA.2014.6871017
  • Ebeid, E., Skriver, M. & Jin, J. (2017). A Survey on Open-Source Flight Control Platforms of Unmanned Aerial Vehicle. DSD, https://doi.org/10.1109/DSD.2017.30
  • Fujii, K., Higuchi, K. & Rekimoto, J. (2013). Endless Flyer: A Continuous Flying Drone with Automatic Battery replacement. IEEE 10th International Conference on Ubiquitous Intelligence & Computing.
  • Gao, M. & Hugenholtz, C. H. (2021). Weather constraints on global drone flyability. Nature, https://doi.org/10.1038/s41598-021-91325-w
  • Glock, K. & Meyer, A. (2020). Mission Planning for Emergency Rapid Mapping with Drones. Transportation Science Conference, 54(2), 534-560, https://doi.org/10.1287/trsc.2019.0963
  • Gomes, F., Hormigo, T. & Ventura, R. (2020). Vision based real-time obstacle avoidance for drones. SSSS, https://doi.org/10.1109/SSRR50563.2020.9292597
  • Grace, S. M. & Dropkin A. (2016). Experimental Study of Quadcopter Acoustics and Performance at Static Thrust Conditions. Aeroacoustics Conferences, https://doi.org/ 10.2514/6.2016-2873
  • Guvenc, I. & Saad, W., (2016). Wireless communications, networking, and positioning with unmanned aerial vehicles. Communications, https://doi.org/10.1109/MCOM.2016.7470931
  • Hartanto, R., Arkeman, Y., Hermadi, I., Sjaf, S. & Kleinke, M. (2019). Intelligent Unmanned Aerial Vehicle for Agriculture and Agroindustry. IOP Conf. Ser.: Earth Environ, 3-4, https://doi.org/10.1088/1755-1315/335/1/012001
  • Hayat, S., Yanmaz, E. & Muzaffar, R. (2016). Survey on Unmanned Aerial Vehicle Networks for Civil Applications. IEEE Communications Surveys & Tutorials, 18(4), 2624–2661
  • Huang, H. & Savkin, A. V. (2020). A Method of Optimized Deployment of Charging Stations for Drone Delivery. IEEE Transactions on Transportaion Electrification, 6, 2.
  • Jeon, B. & Lee, Y. (2020). Integrated Motion Planner for Real-time Aerial Videography. ICRA, https://doi.org/10.1109/ICRA40945.2020.9196703
  • Jain, K. P. & Mueller, M. W. (2020). Flying Batteries: In-flight bat tery switching to increase multirotor flight time. IEEE International Conference on Robotics and Automation (ICRA).
  • Hassanalian, M. & Abdelkefi, A. (2017). Classifications, applications, and design challenges of Drones: A Review. Progress in Aerospace Sciences, 91, 99-131, https://doi.org/10.1016/j.paerosci.2017.04.003
  • Jun, N., Lili, Y., Jingchao, Z., Weixing, C., Yan, Z. & Xiuxiang, T. (2017). Development of an unmanned aerial vehicle-borne crop-growth monitoring system. Sensors, 17, 502-525, https://dx.doi.org/10.3390%2Fs17030502
  • Kemal, N., Chowdhary, G., How, J.P., Vavrina, M.A. & Vian, J. (2015). An Automated Battery Management System to enable persistent missions with multiple Aerial Vehicles. IEEE Transactions on Mechatronics, 20, 1.
  • Kloet, N., Watkins, S. & Clothier, R. (2017). Acoustic signature measurement of small multi-rotor unmanned aircraft systems. International Journal of Micro Air Vehicles, 9, 3–14
  • Lee, D., Zhou, J. & Lin, W.T. (2015). Automated Battery Swapping System for Quadcopter. IEEE International Conference on Unmanned Aircraft Systems (ICUAS).
  • Luers D. (2003). Heavy rain effects on aircraft. AIAA 21st Aerospace Sciences Meeting, 83-0206, https://doi.org/10.2514/6.1983-206.
  • Mohamud, A. & Ashok, A. (2018). Drone noise reduction through audio waveguiding. Dronet ACM Conference, https://doi.org/10.1145/3213526.3213543
  • Motlagh, N.H., Taleb, T. & Arouk, O. (2016). Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives. IEEE Internet of Things Journal, 3(6), 899–922
  • Nalamati, M., Kapoor, A., Saqib, M., Sharma, N. & Blumenstein, M. (2007). Drone Detection in Long-range Surveillance Videos. IEEE Conference on Drones and Intelligent Systems.
  • Raciti, A., Rizo, S.A. & Susinni, G. (2018). Drone Charging Stations over the buildings based on a Wireless Power Transfer System. IEEE/ IAS Industrial and Commercial Power Systems Technical Conference (ICPS).
  • Ranjan, C., Akhtar, S.J. & Kumar, P. (2019). Design and fabrication of quad copter with rechargeable solar power source. AIP Conference Proceedings 2200, 020004, https://doi.org/10.1063/1.5141174 Ranquist, E.A., Steiner, C.M. & Argrow, B. (2016). Exploring the Range of Weather Impacts on UAS Operations. Journal of National Center for Atmospheric Research (NCAR), Boulder, Colorado. Shah, F. A., Sheikh, S. S., Mir, U.I. & Akhtar, S. (2019). Battery Health Monitoring for Lithium-ion Batteries”, International Conference on Power Generation Systems Renewable Energy Technologies (PGSRET) Singh, J. & Dhuheir, M. (2020). Navigation and Obstacle Avoidance System in Unknown Environment. CCECE, https://doi.org/10.1109/CCECE47787.2020.9255754 Vijayanandh, R., Ramesh M., G, Ram., Thianesh, U.K., Venkatesan, K. & Senthil, M., (2019). Research of Noise in the Unmanned Aerial Vehicle’s Propeller using CFD. IJEAT, https://doi.org/10.35940/ijeat.F1031.0886S19 Villa, T. F., Gonzalez, F., Miljievic, B., Ristovski, Z. D. & Morawsk, L. (2016). An overview of small unmanned aerial vehicles for air quality measurements: Present applications and future prospective. Sensors, 4, 23-29, https://doi.org/10.3390/s16071072 Vohra, D.S., Garg, P. K. & Ghosh S. K. (2021). Power management of drones. 2nd International Conference on Unmanned Aerial Systems in Geomatics. Yeom, S. & Nam, D. H. (2021). Moving Vehicle Tracking with a Moving Drone Based on Track. MDPI Journal on Association of Applied Sciences, https://doi.org/10.3390/app11094046

Problems and Prospects of Flying Rotor Drones Particularly Quadcopters

Yıl 2022, , 1 - 7, 30.06.2022

D. Vohra , Pradeep Garg Sanjay Ghosh

https://doi.org/10.51534/tiha.1068613
Cited By: 3

Öz

Rotor type drones are used as a source for acquiring intelligence from areas which are remotely located. This intelligence can be used for ensuring crop insurance, knowing post-disaster assessments, knowing information of restricted security zones, etc. Apart from various advantages, rotor type drones, like quadcopters, have certain drawbacks also. These drawbacks need to be researched and addressed in detail so that the information can be acquired in a manner which is deliberate and very effective, while obtaining information from various sensors attached to the drones. These drawbacks are the problems pertaining to sound of propellers, selection of flight controller, power management issues, flying in non-conducive weather, collision avoidance, videography during night and extended communication ranges, which have been discussed in this paper.

Anahtar Kelimeler

UAV Drone Power Management Flight Controller Acoustic Signature

Kaynakça

  • Abdelwahid, B., Marija, S., Lamine, R., Zoran, R. & Takieddine, M. (2019). UAV aerodynamic design involving genetic algorithm and artificial neural network for wing preliminary computation. Aerospace Science and Technology, 84, 464-83, https://doi.org/10.1016/j.ast.2018.09.043
  • Ali, R., Mohammed, R., Muhammad, T. & Kim, S.H. (2018). Development of Intelligent Drone Battery Charging System based on Wireless Power Transmission. MDPI Journal on Application Systems, 1(4), 44.
  • Arribas, E. & Mancuso, V. (2019). Fair cellular throughput optimization with the aid of coordinated drones. Proc. MiSARN
  • Aswini, N., Kumar, E. K. & Uma, S.V. (2018). UAV’s obstacle sensing techniques – a perspective. International Journal of Intelligent Unmanned Systems, 6, 32-46, https://doi.org/10.1108/IJIUS-11-2017-0013
  • Baris, O., Majumder, S. & Strøm, T. B. (2019). Demonstration of a Time-predictable Flight Controller on a Multicore Processor. ISORC, https://doi.org/10.1109/ISORC.2019.00029
  • Bürkle, A. (2009). Collaborating miniature drones for surveillance and reconnaissance. Proc of SPIE 7480, Unmanned/ Unattended Sensors and Sensor Networks VI, 74800H (24 September 2009), https://doi: 10.1117/12.830408
  • Cai, G., Jorge, D. & Lakmal, S. (2014). A survey of small-scale unmanned aerial vehicles: Recent advances and future development trends. Journal on Unmanned Systems, 2(2), 175-199,
  • Chen, J., Liu. T. & Shen, S. (2016). Online generation of collision-free trajectories for quadrotor flight in unknown cluttered environments. ICRA, https://doi.org/10.1109/ICRA.2016.7487283
  • Chen, J. & Liu, T. (2016). Tracking a moving target in cluttered environments. IROS, https://doi.org/10.1109/IROS.2016.7759092
  • Devos, A., Ebeid, E. & Manoonpong, P. (2021). Development of Autonomous Drones for Adaptive Obstacle Avoidance. DSD, https://doi.org/10.1109/DSD.2018.00009
  • Ding, J., Fan, Q., Luo, D. & Shen, X. (2014). Research of A Multi-UAV Flight Controller. Conference on Control & Automation (ICCA), https://doi.org/10.1109/ICCA.2014.6871017
  • Ebeid, E., Skriver, M. & Jin, J. (2017). A Survey on Open-Source Flight Control Platforms of Unmanned Aerial Vehicle. DSD, https://doi.org/10.1109/DSD.2017.30
  • Fujii, K., Higuchi, K. & Rekimoto, J. (2013). Endless Flyer: A Continuous Flying Drone with Automatic Battery replacement. IEEE 10th International Conference on Ubiquitous Intelligence & Computing.
  • Gao, M. & Hugenholtz, C. H. (2021). Weather constraints on global drone flyability. Nature, https://doi.org/10.1038/s41598-021-91325-w
  • Glock, K. & Meyer, A. (2020). Mission Planning for Emergency Rapid Mapping with Drones. Transportation Science Conference, 54(2), 534-560, https://doi.org/10.1287/trsc.2019.0963
  • Gomes, F., Hormigo, T. & Ventura, R. (2020). Vision based real-time obstacle avoidance for drones. SSSS, https://doi.org/10.1109/SSRR50563.2020.9292597
  • Grace, S. M. & Dropkin A. (2016). Experimental Study of Quadcopter Acoustics and Performance at Static Thrust Conditions. Aeroacoustics Conferences, https://doi.org/ 10.2514/6.2016-2873
  • Guvenc, I. & Saad, W., (2016). Wireless communications, networking, and positioning with unmanned aerial vehicles. Communications, https://doi.org/10.1109/MCOM.2016.7470931
  • Hartanto, R., Arkeman, Y., Hermadi, I., Sjaf, S. & Kleinke, M. (2019). Intelligent Unmanned Aerial Vehicle for Agriculture and Agroindustry. IOP Conf. Ser.: Earth Environ, 3-4, https://doi.org/10.1088/1755-1315/335/1/012001
  • Hayat, S., Yanmaz, E. & Muzaffar, R. (2016). Survey on Unmanned Aerial Vehicle Networks for Civil Applications. IEEE Communications Surveys & Tutorials, 18(4), 2624–2661
  • Huang, H. & Savkin, A. V. (2020). A Method of Optimized Deployment of Charging Stations for Drone Delivery. IEEE Transactions on Transportaion Electrification, 6, 2.
  • Jeon, B. & Lee, Y. (2020). Integrated Motion Planner for Real-time Aerial Videography. ICRA, https://doi.org/10.1109/ICRA40945.2020.9196703
  • Jain, K. P. & Mueller, M. W. (2020). Flying Batteries: In-flight bat tery switching to increase multirotor flight time. IEEE International Conference on Robotics and Automation (ICRA).
  • Hassanalian, M. & Abdelkefi, A. (2017). Classifications, applications, and design challenges of Drones: A Review. Progress in Aerospace Sciences, 91, 99-131, https://doi.org/10.1016/j.paerosci.2017.04.003
  • Jun, N., Lili, Y., Jingchao, Z., Weixing, C., Yan, Z. & Xiuxiang, T. (2017). Development of an unmanned aerial vehicle-borne crop-growth monitoring system. Sensors, 17, 502-525, https://dx.doi.org/10.3390%2Fs17030502
  • Kemal, N., Chowdhary, G., How, J.P., Vavrina, M.A. & Vian, J. (2015). An Automated Battery Management System to enable persistent missions with multiple Aerial Vehicles. IEEE Transactions on Mechatronics, 20, 1.
  • Kloet, N., Watkins, S. & Clothier, R. (2017). Acoustic signature measurement of small multi-rotor unmanned aircraft systems. International Journal of Micro Air Vehicles, 9, 3–14
  • Lee, D., Zhou, J. & Lin, W.T. (2015). Automated Battery Swapping System for Quadcopter. IEEE International Conference on Unmanned Aircraft Systems (ICUAS).
  • Luers D. (2003). Heavy rain effects on aircraft. AIAA 21st Aerospace Sciences Meeting, 83-0206, https://doi.org/10.2514/6.1983-206.
  • Mohamud, A. & Ashok, A. (2018). Drone noise reduction through audio waveguiding. Dronet ACM Conference, https://doi.org/10.1145/3213526.3213543
  • Motlagh, N.H., Taleb, T. & Arouk, O. (2016). Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives. IEEE Internet of Things Journal, 3(6), 899–922
  • Nalamati, M., Kapoor, A., Saqib, M., Sharma, N. & Blumenstein, M. (2007). Drone Detection in Long-range Surveillance Videos. IEEE Conference on Drones and Intelligent Systems.
  • Raciti, A., Rizo, S.A. & Susinni, G. (2018). Drone Charging Stations over the buildings based on a Wireless Power Transfer System. IEEE/ IAS Industrial and Commercial Power Systems Technical Conference (ICPS).
  • Ranjan, C., Akhtar, S.J. & Kumar, P. (2019). Design and fabrication of quad copter with rechargeable solar power source. AIP Conference Proceedings 2200, 020004, https://doi.org/10.1063/1.5141174 Ranquist, E.A., Steiner, C.M. & Argrow, B. (2016). Exploring the Range of Weather Impacts on UAS Operations. Journal of National Center for Atmospheric Research (NCAR), Boulder, Colorado. Shah, F. A., Sheikh, S. S., Mir, U.I. & Akhtar, S. (2019). Battery Health Monitoring for Lithium-ion Batteries”, International Conference on Power Generation Systems Renewable Energy Technologies (PGSRET) Singh, J. & Dhuheir, M. (2020). Navigation and Obstacle Avoidance System in Unknown Environment. CCECE, https://doi.org/10.1109/CCECE47787.2020.9255754 Vijayanandh, R., Ramesh M., G, Ram., Thianesh, U.K., Venkatesan, K. & Senthil, M., (2019). Research of Noise in the Unmanned Aerial Vehicle’s Propeller using CFD. IJEAT, https://doi.org/10.35940/ijeat.F1031.0886S19 Villa, T. F., Gonzalez, F., Miljievic, B., Ristovski, Z. D. & Morawsk, L. (2016). An overview of small unmanned aerial vehicles for air quality measurements: Present applications and future prospective. Sensors, 4, 23-29, https://doi.org/10.3390/s16071072 Vohra, D.S., Garg, P. K. & Ghosh S. K. (2021). Power management of drones. 2nd International Conference on Unmanned Aerial Systems in Geomatics. Yeom, S. & Nam, D. H. (2021). Moving Vehicle Tracking with a Moving Drone Based on Track. MDPI Journal on Association of Applied Sciences, https://doi.org/10.3390/app11094046
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Araştırma Makaleleri [tr] Research Articles [en]
Yazarlar

D. Vohra 0000-0001-6120-6174

Pradeep Garg Bu kişi benim 0000-0002-7126-3698

Sanjay Ghosh Bu kişi benim 0000-0001-7849-9313

Yayımlanma Tarihi 30 Haziran 2022
Gönderilme Tarihi 6 Şubat 2022
Yayımlandığı Sayı Yıl 2022

Kaynak Göster

APA Vohra, D., Garg, P., & Ghosh, S. (2022). Problems and Prospects of Flying Rotor Drones Particularly Quadcopters. Türkiye İnsansız Hava Araçları Dergisi, 4(1), 1-7. https://doi.org/10.51534/tiha.1068613
AMA Vohra D, Garg P, Ghosh S. Problems and Prospects of Flying Rotor Drones Particularly Quadcopters. tiha. Haziran 2022;4(1):1-7. doi:10.51534/tiha.1068613
Chicago Vohra, D., Pradeep Garg, ve Sanjay Ghosh. “Problems and Prospects of Flying Rotor Drones Particularly Quadcopters”. Türkiye İnsansız Hava Araçları Dergisi 4, sy. 1 (Haziran 2022): 1-7. https://doi.org/10.51534/tiha.1068613.
EndNote Vohra D, Garg P, Ghosh S (01 Haziran 2022) Problems and Prospects of Flying Rotor Drones Particularly Quadcopters. Türkiye İnsansız Hava Araçları Dergisi 4 1 1–7.
IEEE D. Vohra, P. Garg, ve S. Ghosh, “Problems and Prospects of Flying Rotor Drones Particularly Quadcopters”, tiha, c. 4, sy. 1, ss. 1–7, 2022, doi: 10.51534/tiha.1068613.
ISNAD Vohra, D. vd. “Problems and Prospects of Flying Rotor Drones Particularly Quadcopters”. Türkiye İnsansız Hava Araçları Dergisi 4/1 (Haziran 2022), 1-7. https://doi.org/10.51534/tiha.1068613.
JAMA Vohra D, Garg P, Ghosh S. Problems and Prospects of Flying Rotor Drones Particularly Quadcopters. tiha. 2022;4:1–7.
MLA Vohra, D. vd. “Problems and Prospects of Flying Rotor Drones Particularly Quadcopters”. Türkiye İnsansız Hava Araçları Dergisi, c. 4, sy. 1, 2022, ss. 1-7, doi:10.51534/tiha.1068613.
Vancouver Vohra D, Garg P, Ghosh S. Problems and Prospects of Flying Rotor Drones Particularly Quadcopters. tiha. 2022;4(1):1-7.

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Real-time vehicle detection for traffic monitoring by applying a deep learning algorithm over images acquired from satellite and drone
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Bringing revolution through quadcopter technology in the field of supplying medicine in the Himalayan regions of Uttarakhand: Case example of Pithoragarh
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