Modelling and GA Fine-tuned PID Control of Quadrirotor UAV

The work presented in this paper focuses on Quadrirotor UAV navigation control. Adynamic model of the Quadrirotor UAV is described followed by a control approach design based on conventional PID and PID optimized by Genetic Algorithm (GA) technique applied to the vertical position (z) control. Contr...

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Bibliographic Details
Main Authors: Zennir, Youcef, Bendib, Riad, Hermouche, Bilel, Mechhoud, El-Arkam, Kamsu Foguem, Bernard, Belmeguenai, Aissa
Format: Conference Proceeding
Language:English
Subjects:
Aerodynamics
Atmospheric modeling
Biological system modeling
GA algorithms
Genetic algorithms
Mathematical model
Modeling
PID controller
Simulation
Tuning
Unmanned aerial vehicles
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Summary:The work presented in this paper focuses on Quadrirotor UAV navigation control. Adynamic model of the Quadrirotor UAV is described followed by a control approach design based on conventional PID and PID optimized by Genetic Algorithm (GA) technique applied to the vertical position (z) control. Controller parameters optimization is based on a fitness function time weight square error (ITA). To approve our approach we have used different values of GA parameters in different simulations in matlab-simulink environment. The simulation obtained results illustrate the efficiency of our control design and open the perspectives for future works.
ISSN:2573-539X
DOI:10.1109/STA.2019.8717238