Research Article
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Simultaneous Design of a Small UAV (Unmanned Aerial Vehicle) Flight Control System and Lateral State Space Model

Year 2018, , 70 - 76, 23.12.2018
https://doi.org/10.30518/jav.461365

Abstract

In this study, the design of a
small unmanned aerial vehicle (UAV) and the real-time application of the flight
control system and lateral state-space model were investigated. For this purpose,
an UAV production was carried out, which was assembled from different locations
at certain intervals to the wing and tail set body and moved back and forth
before the flight. An autopilot was then used which allowed the change of P, I,
D values ​​between 1 and 100. First of all, we obtained a lateral state space
model of the UAV and obtained a simulation model of Unmanned Aerial Vehicle. At
the same time, the block diagram of the autopilot system was extracted and
modeled in MATLAB / Simulink environment. Afterwards, SPSA developed a cost
function consisting of ascent, seating time and maximum overrun, and the
Unmanned Aircraft and autopilot system were redesigned simultaneously to
minimize this cost function. High performance is easily observed in simulation
responses and real flights.

References

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  • [2] Greenwood, D. T. (2003). Advanced Dynamics, Cambridge University P ress. ISBN 0-521-82612-8.
  • [3] Padfield, G. D. (2007). Helicopter Flight Dynamics, AIAA Education Series.
  • [4] Etkin, B., & Reid, L. D. (1996). Dynamics of flight: stability and control (Vol. 3). New York: Wiley.
  • [5] Oktay, T., Konar, M., Mohamed, M. A., Aydin, M., Sal, F., Onay, M., & Soylak, M. Autonomous Flight Performance Improvement of Load-Carrying Unmanned Aerial Vehicles by Active Morphing. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 10(1), 123-132, 2016.
  • [6] Spall, J. C., (1992) “Multivariate stochastic approximation using a simultaneous perturbation gradient approximation,” IEEE Trans. Autom. Control, 37 (3), 332–341.
  • [7] Maryak, J. L., & Chin, D. C. (2001). Global random optimization by simultaneous perturbation stochastic approximation. In American Control Conference, 2001. Proceedings of the 2001, 2:756-762.
  • [8] Wang, I. J., & Spall, J. C. (2003, December). Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions. In Decision and Control, 2003. Proceedings. 42nd IEEE Conference on (Vol. 4, pp. 3808-3813). IEEE.
  • [9] He, Y., Fu, M. C., Marcus, S. I., (2003) “Convergence of Simultaneous Perturbation Stochastic Approximation for Non-Differentiable Optimization”, IEEE Transactions on Aerospace and Electronic Systems, 48 (8):1459–1463.
  • [10] Kuo, B. C. (1963). Analysis and synthesis of sampled-data control systems. Prentice-Hall
  • [11] Ekinci, İ (2016). İnsansız Bir Hava Aracının Yanal Durum Uzay Modelinin ve Uçuş Kontrol Sisteminin Eş Zamanlı Tasarımı. Erciyes Üniversitesi Fen Bilimleri Enstitüsü, Yayımlanmış Yüksek Lisans Tezi, Kayseri
  • [12] Perkins, C. D., & Hage, R. E. (1949). Aircraft performance, stability and control. John Wiley
  • [13] Oktay T., Çoban S. , "Simultaneous Longitudinal and Lateral Flight Control Systems Design For Both Passive and Active Morphing TUAVs ", ELEKTRONİKA IR ELEKTROTECHNİKA, vol.23, no.5, pp.15-20, 2017
Year 2018, , 70 - 76, 23.12.2018
https://doi.org/10.30518/jav.461365

Abstract

References

  • [1] Nelson, R. C. (1998). Flight stability and automatic control (Vol. 2). WCB/ McGraw Hill.
  • [2] Greenwood, D. T. (2003). Advanced Dynamics, Cambridge University P ress. ISBN 0-521-82612-8.
  • [3] Padfield, G. D. (2007). Helicopter Flight Dynamics, AIAA Education Series.
  • [4] Etkin, B., & Reid, L. D. (1996). Dynamics of flight: stability and control (Vol. 3). New York: Wiley.
  • [5] Oktay, T., Konar, M., Mohamed, M. A., Aydin, M., Sal, F., Onay, M., & Soylak, M. Autonomous Flight Performance Improvement of Load-Carrying Unmanned Aerial Vehicles by Active Morphing. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 10(1), 123-132, 2016.
  • [6] Spall, J. C., (1992) “Multivariate stochastic approximation using a simultaneous perturbation gradient approximation,” IEEE Trans. Autom. Control, 37 (3), 332–341.
  • [7] Maryak, J. L., & Chin, D. C. (2001). Global random optimization by simultaneous perturbation stochastic approximation. In American Control Conference, 2001. Proceedings of the 2001, 2:756-762.
  • [8] Wang, I. J., & Spall, J. C. (2003, December). Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions. In Decision and Control, 2003. Proceedings. 42nd IEEE Conference on (Vol. 4, pp. 3808-3813). IEEE.
  • [9] He, Y., Fu, M. C., Marcus, S. I., (2003) “Convergence of Simultaneous Perturbation Stochastic Approximation for Non-Differentiable Optimization”, IEEE Transactions on Aerospace and Electronic Systems, 48 (8):1459–1463.
  • [10] Kuo, B. C. (1963). Analysis and synthesis of sampled-data control systems. Prentice-Hall
  • [11] Ekinci, İ (2016). İnsansız Bir Hava Aracının Yanal Durum Uzay Modelinin ve Uçuş Kontrol Sisteminin Eş Zamanlı Tasarımı. Erciyes Üniversitesi Fen Bilimleri Enstitüsü, Yayımlanmış Yüksek Lisans Tezi, Kayseri
  • [12] Perkins, C. D., & Hage, R. E. (1949). Aircraft performance, stability and control. John Wiley
  • [13] Oktay T., Çoban S. , "Simultaneous Longitudinal and Lateral Flight Control Systems Design For Both Passive and Active Morphing TUAVs ", ELEKTRONİKA IR ELEKTROTECHNİKA, vol.23, no.5, pp.15-20, 2017
There are 13 citations in total.

Details

Primary Language English
Subjects Aerospace Engineering
Journal Section Research Articles
Authors

Sezer Çoban 0000-0001-6750-5001

Tuğrul Oktay

Publication Date December 23, 2018
Submission Date September 19, 2018
Acceptance Date December 4, 2018
Published in Issue Year 2018

Cite

APA Çoban, S., & 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. https://doi.org/10.30518/jav.461365

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