전기전자학회논문지 (Journal of IKEEE)

  • 제22권3호
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  • Pages.747-753
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  • 2018
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  • 1226-7244(pISSN)
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  • 2288-243X(eISSN)
한국전기전자학회 (Institute of Korean Electrical and Electronics Engineers)
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Comparing Energy Consumption following Flight Pattern for Quadrotor

  • Jee, Sunho (School of Electrical, Electronics and Communication Engineering, KOREATECH) ;
  • Cho, Hyunchan (School of Electrical, Electronics and Communication Engineering, KOREATECH)
  • 투고 : 2018.09.07
  • 심사 : 2018.09.19
  • 발행 : 2018.09.30
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초록

Currently, many companies have succeeded in logistics delivery experiments utilizing drone and report it. When a drone is used commercially, long-term flight is an important performance that a drone should have. However, unlike vehicles operated on the ground, drone is a vehicle that continues to consume energy when maintaining the current altitude or moving to the destination. Therefore, the drones can fly for a long time as the capacity of the battery is large, but the batteries with large capacity are restricted by heavy weight and it acts as a limiting factor in a commercial use. To address this issue, we attempt to compare how far we can fly than forward flight based on the flight pattern with the same energy consumption condition. In this paper, the comparison of energy consumption was performed in three flight pattern, forward flight without altitude change and forward flight with altitude change, by computer simulation and it shows the increasing of flight distances when the quadrotor fly with altitude change from high altitude to low altitude.

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참고문헌

  1. Omari, S., Hua, M. D., Ducard, G., & Hamel, T. "Hardware and software architecture for nonlinear control of multirotor helicopters.," IEEE/ ASME Transactions On Mechatronics, vol.18, no.6, pp. 1724-1736, 2013. DOI:10.1109/TMECH.2013.2274558
  2. Razinkova, A., Kang, B. J., Cho, H. C., Jeon, H. T., "Constant altitude flight control for quadrotor UAVs with dynamic feedforward compensation," International journal of fuzzy logic and intelligent systems, vol.14, no.1, pp. 26-33, 2014. DOI:10.5391/IJFIS.2014.14.1.26
  3. Bouadi, H., Bouchoucha, M., & Tadjine, M., "Sliding mode control based on backstepping approach for an UAV type-quadrotor," World Academy of Science, Engineering and Technology, vol.26, no.5, pp. 22-27, Jan. 2007.
  4. Kang, Y., & Hedrick, J. K., "Linear tracking for a fixed-wing UAV using nonlinear model predictive control," IEEE Transactions on Control Systems Technology, vol.17, no.5, pp. 1202-1210, 2009. DOI:10.1999/1307-6892/11524
  5. Raffo, G. V., Ortega, M. G., & Rubio, F. R., "An integral predictive/nonlinear $H{\infty}$ control structure for a quadrotor helicopter," Automatica, vol.46, pp. 29-39, 2009. DOI:10.1016/j.automatica.2009.10.018
  6. Hernandez, A., Copot, C., De Keyser, R., Vlas, T., Nascu, I., "Identification and path following control of an AR. Drone quadrotor.," 2013 17th International Conference on System Theory, Control and Computing(ICSTCC), 2013, pp. 583-588. DOI:10.1109/ICSTCC.2013.6689022
  7. D. Gross., "Amazon's drone delivery: How would it work?," https://www.cnn.com/ (URL)
  8. A.C. Madrigal., "Inside Google's secret drone delivery program," https://www.theatlantic.com/ (URL)
  9. Dorling, K., Heinrichs, J., Messier, G. G., Magierowski, S., "Vehicle routing problems for drone delivery," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.47, pp. 70-85, 2016. DOI:10.1109/TSMC.2016.2582745
  10. Murray, C. C., Chu, A. G., "The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery," Transportation Research Part C: Emerging Technologies, vol. 54, pp. 86-109, 2015. DOI:10.1016/j.trc.2015.03.005
  11. Erdogan, S., Miller-Hooks, E., "A green vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, vol.48, no.1, pp. 100-114, 2012. DOI:10.1016/j.tre.2011.08.001
  12. Bouabdallah, S., Murrieri, P., Siegwart, R., "Design and control of an indoor micro quadrotor," IEEE International Conference on Robotics and Automation(ICRA2004), 2004, pp. 4393-4398. DOI:10.1109/ROBOT.2004.1302409
  13. McKerrow, P., "Modelling the Draganflyer four-rotor helicopter," IEEE International Conference on Robotics and Automation(ICRA2004), 2004, pp. 3596-3601.
  14. Bangura, M., & Mahony, R., "Nonlinear dynamic modeling for high performance control of a quadrotor," Australasian conference on robotics and automation(ACRA2012), pp. 1-10, 2004. DOI:10.1109/ROBOT.2004.1308810
  15. Gandolfo, D. C., Salinas, L. R., Brandão, A., Toibero, J. M., "Stable path-following control for a quadrotor helicopter considering energy consumption," IEEE Transactions on Control Systems Technology, vol.25, no.4, pp. 1423-1430, 2017. DOI:10.1109/TCST.2016.2601288
  16. Carrillo, L. R. G., Lopez, A. E. D., Lozano, R., Pegard, C., Quad rotorcraft control: visionbased hovering and navigation., Springer Science & Business Media, 2013.
  17. Mahony, R., Kumar, V., & Corke, P., "Multirotor aerial vehicles: Modeling, estimation, and control of quadrotor," IEEE Robotics & Automation Magazine, vol.19, no.3, pp. 20-32, 2012. DOI:10.1109/MRA.2012.2206474
  18. Morbidi, F., Cano, R., & Lara, D., "Minimumenergy path generation for a quadrotor UAV," IEEE International Conference on Robotics and Automation(ICRA2016), 2016, pp. 1492-1498. DOI:10.1109/ICRA.2016.7487285