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Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) with Fuzzy Logic Controller
Abstract
Swarm Unmanned Aerial Vehicles (UAVs) comprise of a group of aircraft that come together to achieve a specific goal. In recent years, the Swarm UAVs have been used in commercial, civil and military fields such as search and rescue operations, cargo transportation, sensitive agricultural practices, and ammunition delivery to war zones. Swarm UAVs can scan large areas in a short time in both military and civilian use. Swarm UAVs, which have the ability to communicate synchronously with each other, can perform complex tasks in a minimum energy and time by collaborating with respect to a single UAV. It is very important that swarm UAVs can follow the desired route with minimum error in order to perform the task in the shortest time and with least energy. In this study, the fuzzy logic controller is proposed for swarm quadrotors to follow the desired route with minimum error. The system modeling and mathematical equations of quadrotor have been developed in simulation environment. The performance of swarm UAVs to follow the rectangular and circular routes with minimum error is analyzed in this simulation. The fuzzy logic controller proposed for route tracking of the swarm UAVs is handled comparatively with the classical proportional-integral-derivative (PID) controller. The fuzzy logic controller developed in this simulation study increases the UAV’s sudden maneuverability and ability to complete the task with minimum energy compared to the classical PID controller. The classical PID and fuzzy controller performance of each UAV in the swarm is analyzed graphically and it is observed that the performance of the fuzzy logic controller to follow the reference route is higher than the classical PID controller.
Keywords
References
- Abdelhay, S., & Zakriti, A. (2019). Modeling of a Quadcopter Trajectory Tracking System Using PID Controller. Procedia Manufacturing, 32, 564–571. https://doi.org/10.1016/j.promfg.2019.02.253
- Cabecinhas, D., Cunha, R., & Silvestre, C. (2014). A nonlinear quadrotor trajectory tracking controller with disturbance rejection. Control Engineering Practice, 26(1), 1–10. https://doi.org/10.1016/j.conengprac.2013.12.017
- Cheein, F. A., & Scaglia, G. (2014). Trajectory Tracking Controller Design for Unmanned Vehicles: A New Methodology. Journal of Field Robotics, 31(6), 861–887. https://doi.org/10.1002/rob.21492
- Chung, S. J., Paranjape, A. A., Dames, P., Shen, S., & Kumar, V. (2018). A Survey on Aerial Swarm Robotics. IEEE Transactions on Robotics, 34(4), 837–855. https://doi.org/10.1109/TRO.2018.2857475
- Gonzalez-Vazquez, S., & Moreno-Valenzuela, J. (2010). A New Nonlinear PI/PID Controller for Quadrotor Posture Regulation. 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference, 642–647. https://doi.org/10.1109/CERMA.2010.78
- Hadaegh, F. Y., Chung, S. J., & Manohara, H. M. (2016). On development of 100-gram-class spacecraft for swarm applications. IEEE Systems Journal, 10(2), 673–684. https://doi.org/10.1109/JSYST.2014.2327972
- Idres, M., Mustapha, O., & Okasha, M. (2017). Quadrotor trajectory tracking using PID cascade control. IOP Conference Series: Materials Science and Engineering, 270(1). https://doi.org/10.1088/1757-899X/270/1/012010
- Joukhadar, A., AlChehabi, M., Stöger, C., & Müller, A. (2019). Trajectory Tracking Control of a Quadcopter UAV Using Nonlinear Control (pp. 271–285). https://doi.org/10.1007/978-3-319-89911-4_20
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
August 15, 2020
Submission Date
June 28, 2020
Acceptance Date
August 10, 2020
Published in Issue
Year 2020
APA
Belge, E., & Hacıoğlu, R. (2020). Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) with Fuzzy Logic Controller. Avrupa Bilim Ve Teknoloji Dergisi, 272-278. https://doi.org/10.31590/ejosat.779958
AMA
1.Belge E, Hacıoğlu R. Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) with Fuzzy Logic Controller. EJOSAT. Published online August 1, 2020:272-278. doi:10.31590/ejosat.779958
Chicago
Belge, Egemen, and Rıfat Hacıoğlu. 2020. “Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) With Fuzzy Logic Controller”. Avrupa Bilim Ve Teknoloji Dergisi, August 1, 272-78. https://doi.org/10.31590/ejosat.779958.
EndNote
Belge E, Hacıoğlu R (August 1, 2020) Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) with Fuzzy Logic Controller. Avrupa Bilim ve Teknoloji Dergisi 272–278.
IEEE
[1]E. Belge and R. Hacıoğlu, “Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) with Fuzzy Logic Controller”, EJOSAT, pp. 272–278, Aug. 2020, doi: 10.31590/ejosat.779958.
ISNAD
Belge, Egemen - Hacıoğlu, Rıfat. “Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) With Fuzzy Logic Controller”. Avrupa Bilim ve Teknoloji Dergisi. August 1, 2020. 272-278. https://doi.org/10.31590/ejosat.779958.
JAMA
1.Belge E, Hacıoğlu R. Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) with Fuzzy Logic Controller. EJOSAT. 2020;:272–278.
MLA
Belge, Egemen, and Rıfat Hacıoğlu. “Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) With Fuzzy Logic Controller”. Avrupa Bilim Ve Teknoloji Dergisi, Aug. 2020, pp. 272-8, doi:10.31590/ejosat.779958.
Vancouver
1.Egemen Belge, Rıfat Hacıoğlu. Route Tracking Performance of Swarm Unmanned Aerial Vehicles (UAVs) with Fuzzy Logic Controller. EJOSAT. 2020 Aug. 1;272-8. doi:10.31590/ejosat.779958