Intelligent Control of Quadrotor Unmanned Helicopter in Hovering Mode

A Quadrotor helicopter is an unmanned aerial vehicle (UAV). This vehicle has attracted lots of researchers’ attention because of its unique abilities such as being an under-actuated system, vertical take-off and landing, spot movement, more degree of freedom (DOF) and military and non- military func...

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Main Authors: Neda Shamshiri, Abbas Chatraei
Format: Article
Language:English
Published: Najafabad Branch, Islamic Azad University 2015-08-01
Series:Journal of Intelligent Procedures in Electrical Technology
Subjects:
Online Access:http://jipet.iaun.ac.ir/article_11632_786a44211be5b62cbe1ddbb309c12b48.pdf
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spelling doaj-fbf783094fde453084a31dc68b3e13262020-11-24T21:09:02ZengNajafabad Branch, Islamic Azad UniversityJournal of Intelligent Procedures in Electrical Technology2322-38712345-55942015-08-016223748Intelligent Control of Quadrotor Unmanned Helicopter in Hovering ModeNeda Shamshiri0Abbas Chatraei1Najafabad Branch, Islamic Azad UniversityNajafabad Branch, Islamic Azad UniversityA Quadrotor helicopter is an unmanned aerial vehicle (UAV). This vehicle has attracted lots of researchers’ attention because of its unique abilities such as being an under-actuated system, vertical take-off and landing, spot movement, more degree of freedom (DOF) and military and non- military functions. Because of nonlinear and complex dynamic, modeling and controlling this vehicle is one of the most challenging areas in control engineering. In this paper modeling of a Quadrotor will be described using Newton-Euler equations. Stabilizing and controlling of altitude and its attitude are done by three controller including classic PID, Fuzzy- PID and Neural- Fuzzy based on PID. Performances of these controllers are analyzed in the presence of disturbances and mass uncertainties. The main aim of this paper is designing an intelligent PID algorithm which is made by combining fuzzy logic and neural system and it will introduce a Neural- Fuzzy controller which is based on PID. Simulation results are presented by MATLAB software.http://jipet.iaun.ac.ir/article_11632_786a44211be5b62cbe1ddbb309c12b48.pdfFuzzy controller‎‎modeling‎‎neural‎- ‎fuzzy controller‎‎PID controller‎‎quadrotor
collection DOAJ
language English
format Article
sources DOAJ
author Neda Shamshiri
Abbas Chatraei
spellingShingle Neda Shamshiri
Abbas Chatraei
Intelligent Control of Quadrotor Unmanned Helicopter in Hovering Mode
Journal of Intelligent Procedures in Electrical Technology
Fuzzy controller‎
‎modeling‎
‎neural‎- ‎fuzzy controller‎
‎PID controller‎
‎quadrotor
author_facet Neda Shamshiri
Abbas Chatraei
author_sort Neda Shamshiri
title Intelligent Control of Quadrotor Unmanned Helicopter in Hovering Mode
title_short Intelligent Control of Quadrotor Unmanned Helicopter in Hovering Mode
title_full Intelligent Control of Quadrotor Unmanned Helicopter in Hovering Mode
title_fullStr Intelligent Control of Quadrotor Unmanned Helicopter in Hovering Mode
title_full_unstemmed Intelligent Control of Quadrotor Unmanned Helicopter in Hovering Mode
title_sort intelligent control of quadrotor unmanned helicopter in hovering mode
publisher Najafabad Branch, Islamic Azad University
series Journal of Intelligent Procedures in Electrical Technology
issn 2322-3871
2345-5594
publishDate 2015-08-01
description A Quadrotor helicopter is an unmanned aerial vehicle (UAV). This vehicle has attracted lots of researchers’ attention because of its unique abilities such as being an under-actuated system, vertical take-off and landing, spot movement, more degree of freedom (DOF) and military and non- military functions. Because of nonlinear and complex dynamic, modeling and controlling this vehicle is one of the most challenging areas in control engineering. In this paper modeling of a Quadrotor will be described using Newton-Euler equations. Stabilizing and controlling of altitude and its attitude are done by three controller including classic PID, Fuzzy- PID and Neural- Fuzzy based on PID. Performances of these controllers are analyzed in the presence of disturbances and mass uncertainties. The main aim of this paper is designing an intelligent PID algorithm which is made by combining fuzzy logic and neural system and it will introduce a Neural- Fuzzy controller which is based on PID. Simulation results are presented by MATLAB software.
topic Fuzzy controller‎
‎modeling‎
‎neural‎- ‎fuzzy controller‎
‎PID controller‎
‎quadrotor
url http://jipet.iaun.ac.ir/article_11632_786a44211be5b62cbe1ddbb309c12b48.pdf
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