Saliha Köprücü,MUHAMMET ÖZTÜRK

  • Saliha Köprücü: NECMETTİN ERBAKAN ÜNİVERSİTESİ
  • MUHAMMET ÖZTÜRK: NECMETTİN ERBAKAN ÜNİVERSİTESİ
  •  Year : 2024
  •  Vol : 3
  •  Issue : 1
  •  Page : 15-26
In this study, the pitch angle of an aircraft is controlled using 4 different methods found in the literature. The linearized longitudinal equations of motion of the aircraft selected to be controlled in this study were obtained from the sources in the literature and the control application was made using the transfer function obtained with certain assumptions. The methods designated were used to calculate the coefficients of the PID controller and the calculations and modeling were done through MATLAB/Simulink. The methods used in the study are mainly as follows: Ziegler-Nichols, Modified Ziegler-Nichols, Tyreus-Luyben, and Astrom and Hagglund. The study aims to determine the best-performing method among these 4 methods for controlling the pitch angle of the aircraft. Comparisons were made on the graphs and tables obtained for the study and the best-performing method was determined. In this study, the pitch angle of an aircraft is controlled using 4 different methods found in the literature. The linearized longitudinal equations of motion of the aircraft selected to be controlled in this study were obtained from the sources in the literature and the control application was made using the transfer function obtained with certain assumptions. The methods designated were used to calculate the coefficients of the PID controller and the calculations and modeling were done through MATLAB/Simulink. The methods used in the study are mainly as follows: Ziegler-Nichols, Modified Ziegler-Nichols, Tyreus-Luyben, and Astrom and Hagglund. The study aims to determine the best-performing method among these 4 methods for controlling the pitch angle of the aircraft. Comparisons were made on the graphs and tables obtained for the study and the best-performing method was determined.
Cite this Article As : Köprücü, S., & Öztürk, M. (2024). Comparison of PID coefficients determination methods for aircraft pitch angle control. Aerospace Research Letters (ASREL), 3(1), 15-26. https://doi.org/10.56753/ASREL.2024.3.5

Conflict of interest : The authors declare that they have no conflict of interest.

This article is published under the CC BY-NC 4.0 license.
Asrel Aerospace Research Letters
2024, Vol3, Issue1
E-ISSN: 2980-0064
Received : , Accepted : , Published Online :

References

  1. 1. Nelson, R. C. (1998). Flight stability and automatic control (Vol. 2). New York: WCB/McGraw Hill.
  2. 2. Keane, J. F., & Carr, S. S. (2013). A brief history of early unmanned aircraft. Johns Hopkins APL Technical Digest, 32(3), 558-571.
  3. 3. Stevens, B. L., Lewis, F. L., & Johnson, E. N. (2015). Aircraft control and simulation: dynamics, controls design, and autonomous systems. John Wiley & Sons.
  4. 4. Ahmed, W., Li, Z., Istan, M., & Anwar, M. B. (2019, August). Multi-objective Eigenstructure Assignment-PID Based Controller Design for Longitudinal Motion of Aircraft. In 2019 5th International Conference on Control Science and Systems Engineering (ICCSSE) (pp. 40-44). IEEE.
  5. 5. Durmaz, M., Kenan, C. İ. C. İ., SARIKAYA, M., Bilici, M., & BİLGİÇ, H. H. Metaheuristic algorithm-based cascade PID controller design for fixed wing unmanned aerial vehicle. European Mechanical Science, 7(4), 230-237.
  6. 6. Ulus, S., & Ikbal, E. (2019). Lateral and longitudinal dynamics control of a fixed wing UAV by using PID controller. In 4th International Conference on Engineering and Natural Sciences.
  7. 7. Dhadekar, D. D., & Talole, S. E. (2018). Robust fault tolerant longitudinal aircraft control. IFAC-PapersOnLine, 51(1), 604-609.
  8. 8. Hušek, P., & Narenathreyas, K. (2016). Aircraft longitudinal motion control based on Takagi–Sugeno fuzzy model. Applied Soft Computing, 49, 269-278.
  9. 9. Narenathreyas, K. B. (2013). Fuzzy logic control for aircraft longitudinal motion.
  10. 10. Öztürk, M., & Özkol, İ. (2021). Comparison of self-tuned Neuro-Fuzzy controllers on 2 DOF helicopter: an application. SN Applied Sciences, 3(1), 124.
  11. 11. Tang, K. S., Man, K. F., Chen, G., & Kwong, S. (2001). An optimal fuzzy PID controller. IEEE transactions on industrial electronics, 48(4), 757-765.
  12. 12. Deepa, S. N., & Sudha, G. (2016). Longitudinal control of aircraft dynamics based on optimization of PID parameters. Thermophysics and Aeromechanics, 23(2), 185-194.
  13. 13. Rosario-Gabriel, I., & Cortés, H. R. (2018, June). Aircraft Longitudinal Control based on the Lanchester's Phugoid Dynamics Model. In 2018 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 924-929). IEEE.