Araştırma Makalesi

Altitude Control of Quadrotor Based on Metaheuristic Methods

Cilt: 9 Sayı: 1 30 Haziran 2025
Muhammed Kivanc Kurnaz , Yagmur Olmez , Gonca Ozmen Koca *
PDF İndir
EN

Altitude Control of Quadrotor Based on Metaheuristic Methods

Abstract

Quadrotor, which is used in many fields and is still a challenge to control, has a complex kinematic and dynamic system, and its flight performance depends on many variables that need to be controlled simultaneously. In this study, the effective determination of PID parameters for altitude control of quadrotors, which presents a complex control problem, has been tested comparatively with innovative metaheuristic approaches. Among the strong metaheuristic algorithms, Crow Search Algorithm (CSA), Particle Swarm Optimization Algorithm (PSO), Golden Jackal Optimization Algorithm (GJO), and Jellyfish Search Algorithm (JSA) were comparatively analyzed for the determination of PID parameters. The parameters obtained with CSA caused the minimum steady-state error with the value of 6.9580e-04 in the closed-loop control system. A minimum overshoot was also obtained with the parameters optimized with CSA. When these results are evaluated, it can be said that CSA performs better than other altitude control algorithms, considering the quadrotor's stable and accurate positioning performance.

Keywords

Crow Search Algorithm , Golden Jackal Optimization Algorithm , Jellyfish Search Algorithm , Parameter Optimization , Particle Swarm Optimization Algorithm , quadrotor

Kaynakça

  1. Okasha, M.; Kralev, J.; Islam, M. (2022). Design and Experimental Comparison of PID, LQR, and MPC Stabilizing Controllers for Parrot Mambo Mini-Drone, Aerospace, Vol. 9, No. 6, 298.
  2. Khodja, M. A.; Tadjine, M.; Boucherit, M. S.; Benzaoui, M. (2017). Experimental dynamics identification and control of a quadcopter, 2017 6th International Conference on Systems and Control, ICSC 2017, IEEE, 498–502.
  3. Sheta, A.; Braik, M.; Maddi, D. R.; Mahdy, A.; Aljahdali, S.; Turabieh, H. (2021). Optimization of PID controller to stabilize quadcopter movements using meta-heuristic search algorithms, Applied Sciences (Switzerland), Vol. 11, No. 14.
  4. Derrouaoui, S. H.; Bouzid, Y.; Guiatni, M. (2021). PSO Based Optimal Gain Scheduling Backstepping Flight Controller Design for a Transformable Quadrotor, Journal of Intelligent and Robotic Systems: Theory and Applications, Vol. 102, No. 3.
  5. Kapnopoulos, A.; Alexandridis, A. (2022). A cooperative particle swarm optimization approach for tuning an MPC-based quadrotor trajectory tracking scheme, Aerospace Science and Technology, Vol. 127, 107725.
  6. Hermouche, B.; Zennir, Y.; Kamsu Foguem, B. (2023). Influence of meta-heuristic algorithms on the optimization of quadrotor altitude PID controller, Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 45, No. 10, 1–19.
  7. Sahrir, N. H.; Basri, M. A. M. (2023). PSO–PID Controller for Quadcopter UAV: Index Performance Comparison, Arabian Journal for Science and Engineering, Vol. 48, No. 11, 15241–15255.
  8. Belge, E.; Altan, A.; Hacıoğlu, R. (2022). Metaheuristic Optimization-Based Path Planning and Tracking of Quadcopter for Payload Hold-Release Mission, Electronics (Switzerland), Vol. 11, No. 8.
  9. Gün, A. (2023). Attitude control of a quadrotor using PID controller based on differential evolution algorithm, Expert Systems with Applications, Vol. 229, No. PB, 120518.
  10. Alqudsi, Y.; Makaraci, M.; Kassem, A.; El-Bayoumi, G. (2023). A numerically-stable trajectory generation and optimization algorithm for autonomous quadrotor UAVs, Robotics and Autonomous Systems, Vol. 170, No. January 2021, 104532.

Kaynak Göster

APA
Kurnaz, M. K., Olmez, Y., & Ozmen Koca, G. (2025). Altitude Control of Quadrotor Based on Metaheuristic Methods. International Journal of Innovative Engineering Applications, 9(1), 37-46. https://doi.org/10.46460/ijiea.1564844
AMA
1.Kurnaz MK, Olmez Y, Ozmen Koca G. Altitude Control of Quadrotor Based on Metaheuristic Methods. ijiea, IJIEA. 2025;9(1):37-46. doi:10.46460/ijiea.1564844
Chicago
Kurnaz, Muhammed Kivanc, Yagmur Olmez, ve Gonca Ozmen Koca. 2025. “Altitude Control of Quadrotor Based on Metaheuristic Methods”. International Journal of Innovative Engineering Applications 9 (1): 37-46. https://doi.org/10.46460/ijiea.1564844.
EndNote
Kurnaz MK, Olmez Y, Ozmen Koca G (01 Haziran 2025) Altitude Control of Quadrotor Based on Metaheuristic Methods. International Journal of Innovative Engineering Applications 9 1 37–46.
IEEE
[1]M. K. Kurnaz, Y. Olmez, ve G. Ozmen Koca, “Altitude Control of Quadrotor Based on Metaheuristic Methods”, ijiea, IJIEA, c. 9, sy 1, ss. 37–46, Haz. 2025, doi: 10.46460/ijiea.1564844.
ISNAD
Kurnaz, Muhammed Kivanc - Olmez, Yagmur - Ozmen Koca, Gonca. “Altitude Control of Quadrotor Based on Metaheuristic Methods”. International Journal of Innovative Engineering Applications 9/1 (01 Haziran 2025): 37-46. https://doi.org/10.46460/ijiea.1564844.
JAMA
1.Kurnaz MK, Olmez Y, Ozmen Koca G. Altitude Control of Quadrotor Based on Metaheuristic Methods. ijiea, IJIEA. 2025;9:37–46.
MLA
Kurnaz, Muhammed Kivanc, vd. “Altitude Control of Quadrotor Based on Metaheuristic Methods”. International Journal of Innovative Engineering Applications, c. 9, sy 1, Haziran 2025, ss. 37-46, doi:10.46460/ijiea.1564844.
Vancouver
1.Muhammed Kivanc Kurnaz, Yagmur Olmez, Gonca Ozmen Koca. Altitude Control of Quadrotor Based on Metaheuristic Methods. ijiea, IJIEA. 01 Haziran 2025;9(1):37-46. doi:10.46460/ijiea.1564844