Altitude and Attitude Control of a Quadcopter Based on Neuro-Fuzzy Controller
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, a 6-degrees of freedom (DoF) nonlinear dynamic model of the quadcopter is derived and a robust altitude and attitude control is proposed. The motion control is performed with four neuro-fuzzy controllers that ensure rapid and robust performances for nonlinear and uncertain systems. The aim of the designed control scheme is to provide to track the desired yaw, pitch, roll, and altitude trajectories simultaneously. The simulations are realized in the MATLAB/Simulink environment. The obtained results show that the designed control scheme is robust and efficient in both altitude and attitude responses with different uncertain trajectories.
Açıklama
Anahtar Kelimeler
Quadcopter, Altitude control, Attitude control, Neuro-fuzzy
Kaynak
Lecture Notes in Electrical Engineering
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
829
Sayı
Künye
Korkmaz, D., Acikgoz, H., & Ustundag, M. (2022). Altitude and Attitude Control of a Quadcopter Based on Neuro-Fuzzy Controller. In Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications (pp. 1009-1015). Springer, Singapore.
