Fractional Order PID Controller for Quadrotor

In recent years, research on Unmanned Aerial Vehicles (UAVs) has intensified due to their versatile applications. While there are various forms of UAVs, each with its distinct properties and uses, controlling them remains a challenge. This paper focuses on the use of a quadcopter to control altitude...

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Bibliographic Details
Published in:	2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom) pp. 270 - 274
Main Authors:	Yaghi, Murad A., Shehadeh, AbdelHafez, Tutunji, Tarek A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 07-12-2023
Subjects:	Autonomous aerial vehicles Delays fractional order PID genetic algorithm Genetic algorithms Heuristic algorithms quadcopter Quadrotors Time factors UAV Vehicle dynamics
Online Access:	Get full text
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Summary:	In recent years, research on Unmanned Aerial Vehicles (UAVs) has intensified due to their versatile applications. While there are various forms of UAVs, each with its distinct properties and uses, controlling them remains a challenge. This paper focuses on the use of a quadcopter to control altitude via a fractional order PID (FOPID). Additionally, a genetic algorithm (GA) is employed to tune the parameters of the FOPID controller. The research incorporates a simulation, executed in Simulink/MATLAB, which illustrates the efficacy of the FOPID. A notable advantage of the fractional order PID is its enhanced response and superior adaptability, which culminates in improved, consistent performance.
DOI:	10.1109/MoSICom59118.2023.10458722