Communications - Scientific Letters of the University of Zilina 2024, 26(3):C9-C20 | DOI: 10.26552/com.C.2024.027

A Particle Swarm Optimization Based Fuzzy Flcpi-Pso Controller for Quadcopter System

Mohammed Baba ORCID...1, *, Fateh Bounaama ORCID...2, Sid Bennaceur ORCID...3, Aissa Benhammou ORCID...1, Mohammed Amine Soumeur ORCID...1
1 Laboratory of Smart Grids and Renewable Energies (SRGE), University Tahri Mohammed Bechar, Bechar, Algeria
2 Laboratory of Energy in Arid Zones (ENERGARID), University Tahri Mohammed Bechar, Bechar, Algeria
3 Laboratory of Renewable Energies and their Applications in Saharan areas (LDREAS), University Tahri Mohammed Bechar, Bechar, Algeria

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.

Keywords: quadcopter model, fuzzy logic controller, optimization, FLCPI-PSO
Grants and funding:

The authors received no financial support for the research, authorship and/or publication of this article.

Conflicts of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Received: September 21, 2023; Accepted: March 18, 2024; Prepublished online: April 4, 2024; Published: July 11, 2024  Show citation

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Baba, M., Bounaama, F., Bennaceur, S., Benhammou, A., & Amine Soumeur, M. (2024). A Particle Swarm Optimization Based Fuzzy Flcpi-Pso Controller for Quadcopter System. Communications - Scientific Letters of the University of Zilina, 26(3), C9-20. doi: 10.26552/com.C.2024.027
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