RT Journal Article
SR Electronic
A1 Baba, Mohammed
A1 Bounaama, Fateh
A1 Bennaceur, Sid
A1 Benhammou, Aissa
A1 Amine Soumeur, Mohammed
T1 A Particle Swarm Optimization Based Fuzzy Flcpi-Pso Controller for Quadcopter System
JF Communications - Scientific Letters of the University of Zilina
YR 2024
VO 26
IS 3
SP C9
OP C20
DO 10.26552/com.C.2024.027
UL https://komunikacie.uniza.sk/artkey/csl-202403-0001.php
AB The quadcopter persist as important roles across diverse applications, and the enhancement of their control efficacy has been the subject of extensive research.In this work, the authors proposed optimal Proportional Integral (PI) controller based Fuzzy Logic Control (FLC) for the roll, pitch, altitude, and yaw motions of the quadcopter system. The proposed technique uses the Particle Swarm Optimization (PSO) algorithm to tune the parameters of the FLC and enhance the quadcopter performance. The simulation results show that the proposed technique achieves smoothness of control and significant improvement over classical techniques, as the rise time and the settling time are reduced by 61 % and 66 %, respectively. These times are important for stabilizing the system's response speed and avoiding overshooting or oscillating. This indicates that the FLCPI-PSO can achieve the desired roll and altitude angles more rapidly and effectively.