TY  - JOUR
T1  - Integrated Design of Adaptive and Fuzzy Logic Control for Trajectory Tracking of 2 DOF
Quadrotor
AU - Jibril, Mustefa 
JO  - International Journal of Soft Computing
VL  - 16
IS  - 6
SP  - 118
EP  - 126
PY  - 2021
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2021.118.126
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2021.118.126
KW  - Quadrotor
KW  -adaptive fuzzy
KW  -fuzzy logic
KW  -PID
AB  - Accurate and precise trajectory tracking is
crucial for a quadrotor to operate in disturbed
environments. This study presents a novel tracking hybrid
controller for a quadrotor UAV that combines the
adaptive and fuzzy logic controller. The adaptive fuzzy
controller is implemented to govern the behavior of two
degrees of freedom quadrotor UAV. The proposed
controller allows controlling the movement of UAVs to
track a given trajectory in a 2D vertical plane. The fuzzy
logic system provides an automatic adjustment of the
adaptive parameters to reduce tracking errors and improve
the quality of the controller. The results showed perfect
behavior for the control law to control a quadrotor
trajectory tracking task. To show the effectiveness of the
intelligent controller, simulation results are given to
confirm the advantages of the proposed control method,
compared with fuzzy and proportional integral derivative
(PID) control methods.
ER  -