Öz
This paper presents the design and optimization of a longitudinal control system for a fixed-wing Unmanned Aerial Vehicle (UAV). The study focuses on the development of a state-space model based on the UAV's aerodynamic parameters. The system matrices (A and B) are derived from the vehicle's physical properties and aerodynamic coefficients, allowing for an accurate representation of the UAV's response to control inputs. A PID controller was used to regulate the pitch angle, and its parameters are optimized using the Simultaneous Perturbation Stochastic Approximation (SPSA) method. This optimization approach proves to be effective in fine-tuning the control gains by minimizing the error in the pitch response under realistic flight conditions. The study emphasizes the robustness of SPSA, particularly in high-dimensional and noisy environments.The results demonstrate the improved autonomous performance of the UAV, with the PID controller successfully achieving the desired pitch angle control.
Anahtar Kelimeler
PID Controller SPSA Optimization Longitudinal Dynamics Autonomous Performance UAV Stability
Kaynakça
- Abdelmaksoud, S. I., Mailah, M., & Abdallah, A. M. (2020). Control strategies and novel techniques for autonomous rotorcraft unmanned aerial vehicles: A review. IEEE Access, 8, 195142-195169
- Amelin, K., & Maltsev, V. (2021). Using of the spsa method to improve the accuracy of UAV following a given route under the action of wind loads. Cybernetics And Physics Учредители: Институт проблем машиноведения РАН, 10(4), 224-230.
- Çantaş, Y., & Akbulut, A. (2021). Fixed-Wing Aircraft Autopilot Design and Simulation. Politeknik Journal, 25(4), 21- 29.
- Çoban, S. (2019). Different autopilot systems design for a small fixed wing unmanned aerial vehicle. Avrupa Bilim ve Teknoloji Dergisi, (17), 682-691.
- Çoban, S. (2019). Simultaneous tailplane of small UAV and autopilot system design. Aircraft Engineering and Aerospace Technology, 91(10), 1308-1313.
- 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.
- Çoban, S., Bilgiç, H. H., & Oktay, T. (2019). Designing, dynamic modeling and simulation of ISTECOPTER. Journal of Aviation, 3(1), 38-44.
- Erkol, H. O. (2018). Attitude controller optimization of four-rotor unmanned air vehicle. International Journal of Micro Air Vehicles, 10(1), 42-49.
- Guo, J., Lu, Y., & Li, Z. (2022). PID parameter tuning algorithm of rotor UAV Based on Improved Particle Swarm Optimization. 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC), 6, 1251- 1255.
- Kaba, A. (2020). A Comparative Study on the Tuning of the PID Flight Controllers Using Swarm Intelligence. International Journal of Aviation Science and Technology, 1(02), 80-91.
- Mao, G., Drake, S., & Anderson, B. D. (2007, February). Design of an extended kalman filter for UAV localization. In 2007 Information, Decision and Control (pp. 224-229). IEEE.
- Mobarez, E. N., Sarhan, A., & Mohamed, A. M. (2019, September). Modeling of fixed wing UAV and design of multivariable flight controller using PID tuned by local optimal control. In IOP Conference Series: Materials Science and Engineering (Vol. 610, No. 1, p. 012016). IOP Publishing.
- Muliadi, J., & Kusumoputro, B. (2018). Neural network control system of UAV altitude dynamics and its comparison with the PID control system. Journal of Advanced Transportation, 2018(1), 3823201.
- Nelson, R. C. (2007). Flight Stability and Automatic Control, 2nd ed., McGraw-Hill, New York, chapters 2-6.
- Shehryar, K. H. A. N. (2019). Design and development of intelligent actuator control methodologies for morphing wing in wind tunnel (Doctoral dissertation, UNIVERSITÉ DU QUÉBEC).
- Singh, R., & Bhushan, B. (2020). Application of Stochastic Approximation for Self-tuning of PID in Unmanned Surface Vehicles. Advances in Intelligent Systems and Computing.
- Sonny, A., Yeduri, S. R., & Cenkeramaddi, L. R. (2023). Autonomous UAV path planning using modified PSO for UAV-assisted wireless networks. IEEE Access.
- Spall, J. C., (1992) Multivariate stochastic approximation using a simultaneous perturbation gradient approximation, IEEE Trans. Autom. Control, 37 (3), 332–341.
Öz
Kaynakça
- Abdelmaksoud, S. I., Mailah, M., & Abdallah, A. M. (2020). Control strategies and novel techniques for autonomous rotorcraft unmanned aerial vehicles: A review. IEEE Access, 8, 195142-195169
- Amelin, K., & Maltsev, V. (2021). Using of the spsa method to improve the accuracy of UAV following a given route under the action of wind loads. Cybernetics And Physics Учредители: Институт проблем машиноведения РАН, 10(4), 224-230.
- Çantaş, Y., & Akbulut, A. (2021). Fixed-Wing Aircraft Autopilot Design and Simulation. Politeknik Journal, 25(4), 21- 29.
- Çoban, S. (2019). Different autopilot systems design for a small fixed wing unmanned aerial vehicle. Avrupa Bilim ve Teknoloji Dergisi, (17), 682-691.
- Çoban, S. (2019). Simultaneous tailplane of small UAV and autopilot system design. Aircraft Engineering and Aerospace Technology, 91(10), 1308-1313.
- 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.
- Çoban, S., Bilgiç, H. H., & Oktay, T. (2019). Designing, dynamic modeling and simulation of ISTECOPTER. Journal of Aviation, 3(1), 38-44.
- Erkol, H. O. (2018). Attitude controller optimization of four-rotor unmanned air vehicle. International Journal of Micro Air Vehicles, 10(1), 42-49.
- Guo, J., Lu, Y., & Li, Z. (2022). PID parameter tuning algorithm of rotor UAV Based on Improved Particle Swarm Optimization. 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC), 6, 1251- 1255.
- Kaba, A. (2020). A Comparative Study on the Tuning of the PID Flight Controllers Using Swarm Intelligence. International Journal of Aviation Science and Technology, 1(02), 80-91.
- Mao, G., Drake, S., & Anderson, B. D. (2007, February). Design of an extended kalman filter for UAV localization. In 2007 Information, Decision and Control (pp. 224-229). IEEE.
- Mobarez, E. N., Sarhan, A., & Mohamed, A. M. (2019, September). Modeling of fixed wing UAV and design of multivariable flight controller using PID tuned by local optimal control. In IOP Conference Series: Materials Science and Engineering (Vol. 610, No. 1, p. 012016). IOP Publishing.
- Muliadi, J., & Kusumoputro, B. (2018). Neural network control system of UAV altitude dynamics and its comparison with the PID control system. Journal of Advanced Transportation, 2018(1), 3823201.
- Nelson, R. C. (2007). Flight Stability and Automatic Control, 2nd ed., McGraw-Hill, New York, chapters 2-6.
- Shehryar, K. H. A. N. (2019). Design and development of intelligent actuator control methodologies for morphing wing in wind tunnel (Doctoral dissertation, UNIVERSITÉ DU QUÉBEC).
- Singh, R., & Bhushan, B. (2020). Application of Stochastic Approximation for Self-tuning of PID in Unmanned Surface Vehicles. Advances in Intelligent Systems and Computing.
- Sonny, A., Yeduri, S. R., & Cenkeramaddi, L. R. (2023). Autonomous UAV path planning using modified PSO for UAV-assisted wireless networks. IEEE Access.
- Spall, J. C., (1992) Multivariate stochastic approximation using a simultaneous perturbation gradient approximation, IEEE Trans. Autom. Control, 37 (3), 332–341.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Uçak Performansı ve Uçuş Kontrol Sistemleri |
| Bölüm | Araştırma Makaleleri |
| Yazarlar | |
| Erken Görünüm Tarihi | 24 Şubat 2025 |
| Yayımlanma Tarihi | 26 Şubat 2025 |
| Gönderilme Tarihi | 19 Aralık 2024 |
| Kabul Tarihi | 1 Şubat 2025 |
| Yayımlandığı Sayı | Yıl 2025 Cilt: 9 Sayı: 1 |
Journal of Aviation - JAV |
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