Implementation of Fuzzy-PID Controller on Quadcopter Movement
Abstract
A UAV is an unmanned aerial vehicle, one of which is a Quadcopter. A Quadcopter has a simple structure and small size. Therefore, high maneuverability allows the Quadcopter to take off, fly, and land in narrow areas. The speed of the four motor-driven propellers affects the quadcopter’s motion. The problem that often occurs in Quadcopters lies in the lifting force. Where the speed of the four motors must be the same so that the lift force can make the Quadcopter reach the desired height. The study aims to control the angular velocity and speed of the Quadcopter on the z-axis. The Quadcopter motion system model is a non-linear system because environmental disturbances give the system very high uncertainty. The system is given a control design in the form of Fuzzy-PID (Fuzzy Proportional Integral Derivative) with the desired set point or speed is 1. Simulation is carried out by comparing the system without disturbance and with disturbance to see how the speed of the Fuzzy-PID stabilizes the system. The simulation results show that even though the system is disturbed, the fuzzy-PID control can guide it toward the desired set point.
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H. Tanveer, M. Faiz Ahmed, S. Hazry, D. Warsi, F. A., & Kamran Joyo, M., “Stabilized controller design for attitude and altitude controlling of quad-rotor under disturbance and noisy conditions,” American Journal of Applied Sciences, vol. 10, no. 8, pp. 819–831, 2013.
A. Surriani, A. Budiyanto, and M. Arrofiq, “Altitude control of quadrotor using fuzzy self-tuning PID controller,” in 2017, pp. 67–72.
V. K. Tripathi, L. Behera, and N. Verma, “Design of sliding mode and backstepping controllers for a Quadcopter,” in Proceedings of the 2015 39th National Systems Conference, NSC 2015, 2016.
M. Rabah, A. Rohan, Y. J. Han, and S. H. Kim, “Design of fuzzy-PID controller for Quadcopter trajectory-tracking,” International Journal of Fuzzy Logic and Intelligent Systems, vol. 18, no. 3, pp. 204–213, 2018.
C. Gomez and H. Purdie, “UAV-based photogrammetry and geocomputing for hazards and disaster risk monitoring – a review,” Geoenvironmental Disasters, vol. 3, no. 1, 2016.
A. Krishnan, V. R. Jisha, and K. Gokulnath, “Path planning of an autonomous Quadcopter based delivery system,” in 2018 International Conference on Emerging Trends and Innovations in Engineering and Technological Research (ICETIETR), 2018.
M. Dev and P. Murthy, “Design of a Quadcopter for search and rescue operation in natural calamities,” Industrial Design, 2015.
J. S. Gadda and R. D. Patil, “Quadcopter (UAVs) for border security with GUI system,” IJRET: International Journal of Research in Engineering and Technology, 2013.
S. Bari, S. Z. Hamdani, H. U. Khan, M. ur Rehman, and H. Khan, “Artificial neural network-based self-tuned PID controller for flight control of Quadcopter,” in 2019 International Conference on Engineering and Emerging Technologies (ICEET), 2019.
M. Diana Tamsar, G. E. Setyawan, and W. Kurniawan, “Sistem Pengendalian Kecepatan Pada Quadcopter Dengan Menggunakan Metode Linear Quadratic Regulator (LQR),” vol. 3, no. 1, 2019.
F. Ahmad, P. Kumar, A. Bhandari, and P. P. Patil, “Simulation of the Quadcopter dynamics with LQR based control,” 2018.
G. E. Setyawan, E. Setiawan, and W. Kurniawan, “Sistem kendali ketinggian Quadcopter menggunakan PID,” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 2, no. 2, 2015.
A. Hendriawan, G. Prasetyo Utomo, and H. Oktavianto, “Sistem Kontrol Altitude Pada UAV Model Quadcopter Dengan Metode PID,” Politeknik Elektronika Negeri Surabaya, 2012.
V. Praveen and A. S. Pillai, “Modeling and simulation of Quadcopter using PID controller,” International Journal of Circuit Theory and Applications, vol. 9, no. 15, pp. 7151–7158, 2016.
K. H. Ang, G. Chong, and Y. Li, “PID control system analysis, design, and technology,” IEEE Transactions on Control Systems Technology, vol. 13, no. 4, pp. 559–576, 2005.
J. Pramudijanto, J. Susila, and A. Suryana, “Implementasi hybrid fuzzy PID pada pengaturan kecepatan motor induksi tiga fasa dengan beban rem magnetik,” JAVA Journal of Electrical and Electronics Engineering, vol. 2, no. 1, 2013.
A. Hussain and H. Nadeem, “Design and Development of an Unmanned Aerial Vehicle for Precision Agriculture,” 2022.
S. Abdelhay and A. Zakriti, “Modeling of a Quadcopter trajectory tracking system using PID controller,” Procedia Manufacturing, vol. 32, pp. 564–571, 2019.
M. Mardlijah and D. Prihatini, “Control design of Quadcopter using output feedback control pole placement,” Proceeding of the International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2022, pp. 197–202, 2022.
T. Bresciani, “Modelling, Identification and Control of a Quadrotor Helicopter,” 2008.
Quanser, “Specialty Plants User Manual Quanser Qball-X4,” 2014.
A. Mulyadi and B. Siswojo, “Desain dan simulasi sistem kontrol PID pada pengendalian kecepatan motor penggerak Quadcopter,” Transmisi, vol. 22, no. 4, 2020.
K. El Hamidi, M. Mjahed, A. E. El Kari, and H. Ayad, “Neural network and fuzzy-logic-based self-tuning PID control for Quadcopter path tracking,” Studies in Informatics and Control, vol. 28, no. 4, pp. 401–412, 2019.
DOI: http://dx.doi.org/10.12962/j24775401.v10i2.21949
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