Efficient model of PID controller of unmanned aerial vehicle

The modern stage of science and technology development is distinguished by the widespread use of digital signal processing. The use of digital processing for effective control of aircraft and other technical equipment remains relevant for many industries. The paper considers the problem of building...

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Main Authors: Arsen R. Petrosian, Ruslan V. Petrosyan, Ihor A. Pilkevych, Maryna S. Graf
Format: Article
Language:English
Published: Academy of Cognitive and Natural Sciences 2023-10-01
Series:Journal of Edge Computing
Subjects:
Online Access:https://acnsci.org/journal/index.php/jec/article/view/593
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author Arsen R. Petrosian
Ruslan V. Petrosyan
Ihor A. Pilkevych
Maryna S. Graf
author_facet Arsen R. Petrosian
Ruslan V. Petrosyan
Ihor A. Pilkevych
Maryna S. Graf
author_sort Arsen R. Petrosian
collection DOAJ
description The modern stage of science and technology development is distinguished by the widespread use of digital signal processing. The use of digital processing for effective control of aircraft and other technical equipment remains relevant for many industries. The paper considers the problem of building a model of a digital PID-regulator, which can be used in unmanned aerial vehicles. It is proposed to base the regulator on the methods of digital filtering (realisation of the differential component using a digital filter with a finite impulse response). Calculation of digital filter coefficients is performed using genetic algorithm. This approach allows to increase the accuracy of the model, to provide the calculation of PID-regulator coefficients using classical PID-regulator methods. The software on Python programming language realizing the proposed method has been developed. The effectiveness of the developed model is demonstrated in simulation.
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spelling doaj.art-d1da37f8d1e04c61b81ef54c554dd20b2024-01-08T12:04:59ZengAcademy of Cognitive and Natural SciencesJournal of Edge Computing2837-181X2023-10-012210.55056/jec.593Efficient model of PID controller of unmanned aerial vehicleArsen R. Petrosian0Ruslan V. Petrosyan1Ihor A. Pilkevych2Maryna S. Graf3Zhytomyr Polytechnic State University Zhytomyr Polytechnic State University Korolyov Zhytomyr Military InstituteZhytomyr Polytechnic State University The modern stage of science and technology development is distinguished by the widespread use of digital signal processing. The use of digital processing for effective control of aircraft and other technical equipment remains relevant for many industries. The paper considers the problem of building a model of a digital PID-regulator, which can be used in unmanned aerial vehicles. It is proposed to base the regulator on the methods of digital filtering (realisation of the differential component using a digital filter with a finite impulse response). Calculation of digital filter coefficients is performed using genetic algorithm. This approach allows to increase the accuracy of the model, to provide the calculation of PID-regulator coefficients using classical PID-regulator methods. The software on Python programming language realizing the proposed method has been developed. The effectiveness of the developed model is demonstrated in simulation. https://acnsci.org/journal/index.php/jec/article/view/593UAV, PID controller, model optimization algorithm, digital filter, genetic algorithm
spellingShingle Arsen R. Petrosian
Ruslan V. Petrosyan
Ihor A. Pilkevych
Maryna S. Graf
Efficient model of PID controller of unmanned aerial vehicle
Journal of Edge Computing
UAV, PID controller, model optimization algorithm, digital filter, genetic algorithm
title Efficient model of PID controller of unmanned aerial vehicle
title_full Efficient model of PID controller of unmanned aerial vehicle
title_fullStr Efficient model of PID controller of unmanned aerial vehicle
title_full_unstemmed Efficient model of PID controller of unmanned aerial vehicle
title_short Efficient model of PID controller of unmanned aerial vehicle
title_sort efficient model of pid controller of unmanned aerial vehicle
topic UAV, PID controller, model optimization algorithm, digital filter, genetic algorithm
url https://acnsci.org/journal/index.php/jec/article/view/593
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AT ihorapilkevych efficientmodelofpidcontrollerofunmannedaerialvehicle
AT marynasgraf efficientmodelofpidcontrollerofunmannedaerialvehicle