UAV Control Based on Dual LQR and Fuzzy-PID Controller

This paper presents the design of a longitudinal controller for an autonomous unmanned aerial vehicle (UAV). This paper proposed the dual loop (inner-outer loop) control based on the intelligent algorithm. The inner feedback loop controller is a Linear Quadratic Regulator (LQR) to provide robust (a...

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Autores principales: Malik M. A. Al-Isawi, Adnan J. Attiya, Julius O. ADOGHE
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Lenguaje:EN
Publicado: Al-Khwarizmi College of Engineering – University of Baghdad 2020
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Acceso en línea:https://doaj.org/article/dc220351a67641e3996d217760338e29
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spelling oai:doaj.org-article:dc220351a67641e3996d217760338e292021-12-02T09:24:03ZUAV Control Based on Dual LQR and Fuzzy-PID Controller10.22153/kej.2020.08.0011818-11712312-0789https://doaj.org/article/dc220351a67641e3996d217760338e292020-09-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/710https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 This paper presents the design of a longitudinal controller for an autonomous unmanned aerial vehicle (UAV). This paper proposed the dual loop (inner-outer loop) control based on the intelligent algorithm. The inner feedback loop controller is a Linear Quadratic Regulator (LQR) to provide robust (adaptive) stability. In contrast, the outer loop controller is based on Fuzzy-PID (Proportional, Integral, and Derivative) algorithm to provide reference signal tracking. The proposed dual controller is to control the position (altitude) and velocity (airspeed) of an aircraft. An adaptive Unscented Kalman Filter (AUKF) is employed to track the reference signal and is decreased the Gaussian noise. The mathematical model of aircraft has been (Cessna 172) presented. The stability and robustness of the system have been verified in a simulation experiment. Malik M. A. Al-IsawiAdnan J. AttiyaJulius O. ADOGHEAl-Khwarizmi College of Engineering – University of BaghdadarticleChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 16, Iss 3 (2020)
institution DOAJ
collection DOAJ
language EN
topic Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle Chemical engineering
TP155-156
Engineering (General). Civil engineering (General)
TA1-2040
Malik M. A. Al-Isawi
Adnan J. Attiya
Julius O. ADOGHE
UAV Control Based on Dual LQR and Fuzzy-PID Controller
description This paper presents the design of a longitudinal controller for an autonomous unmanned aerial vehicle (UAV). This paper proposed the dual loop (inner-outer loop) control based on the intelligent algorithm. The inner feedback loop controller is a Linear Quadratic Regulator (LQR) to provide robust (adaptive) stability. In contrast, the outer loop controller is based on Fuzzy-PID (Proportional, Integral, and Derivative) algorithm to provide reference signal tracking. The proposed dual controller is to control the position (altitude) and velocity (airspeed) of an aircraft. An adaptive Unscented Kalman Filter (AUKF) is employed to track the reference signal and is decreased the Gaussian noise. The mathematical model of aircraft has been (Cessna 172) presented. The stability and robustness of the system have been verified in a simulation experiment.
format article
author Malik M. A. Al-Isawi
Adnan J. Attiya
Julius O. ADOGHE
author_facet Malik M. A. Al-Isawi
Adnan J. Attiya
Julius O. ADOGHE
author_sort Malik M. A. Al-Isawi
title UAV Control Based on Dual LQR and Fuzzy-PID Controller
title_short UAV Control Based on Dual LQR and Fuzzy-PID Controller
title_full UAV Control Based on Dual LQR and Fuzzy-PID Controller
title_fullStr UAV Control Based on Dual LQR and Fuzzy-PID Controller
title_full_unstemmed UAV Control Based on Dual LQR and Fuzzy-PID Controller
title_sort uav control based on dual lqr and fuzzy-pid controller
publisher Al-Khwarizmi College of Engineering – University of Baghdad
publishDate 2020
url https://doaj.org/article/dc220351a67641e3996d217760338e29
work_keys_str_mv AT malikmaalisawi uavcontrolbasedonduallqrandfuzzypidcontroller
AT adnanjattiya uavcontrolbasedonduallqrandfuzzypidcontroller
AT juliusoadoghe uavcontrolbasedonduallqrandfuzzypidcontroller
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