Enhancing the stabilization of aircraft pitch motion control via intelligent and classical method

The pitching movement of an aircraft is very important to ensure passengers are intrinsically safe and the aircraft achieve its maximum stability. The equations governing the motion of an aircraft are a complex set of six nonlinear coupled differential equations. Under certain assumptions, it can be...

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Main Authors: Lukman, H., Munawwarah, S., Azizan, A., Yakub, F., Zaki, S. A., Rasid, Z. A.
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:http://eprints.utm.my/id/eprint/97053/1/HLukman2017_EnhancingtheStabilizationofAircraft.pdf
http://eprints.utm.my/id/eprint/97053/
http://dx.doi.org/10.1088/1757-899X/270/1/012008
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spelling my.utm.970532022-09-12T07:31:04Z http://eprints.utm.my/id/eprint/97053/ Enhancing the stabilization of aircraft pitch motion control via intelligent and classical method Lukman, H. Munawwarah, S. Azizan, A. Yakub, F. Zaki, S. A. Rasid, Z. A. T Technology (General) The pitching movement of an aircraft is very important to ensure passengers are intrinsically safe and the aircraft achieve its maximum stability. The equations governing the motion of an aircraft are a complex set of six nonlinear coupled differential equations. Under certain assumptions, it can be decoupled and linearized into longitudinal and lateral equations. Pitch control is a longitudinal problem and thus, only the longitudinal dynamics equations are involved in this system. It is a third order nonlinear system, which is linearized about the operating point. The system is also inherently unstable due to the presence of a free integrator. Because of this, a feedback controller is added in order to solve this problem and enhance the system performance. This study uses two approaches in designing controller: a conventional controller and an intelligent controller. The pitch control scheme consists of proportional, integral and derivatives (PID) for conventional controller and fuzzy logic control (FLC) for intelligent controller. Throughout the paper, the performance of the presented controllers are investigated and compared based on the common criteria of step response. Simulation results have been obtained and analysed by using Matlab and Simulink software. The study shows that FLC controller has higher ability to control and stabilize the aircraft's pitch angle as compared to PID controller. 2021 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97053/1/HLukman2017_EnhancingtheStabilizationofAircraft.pdf Lukman, H. and Munawwarah, S. and Azizan, A. and Yakub, F. and Zaki, S. A. and Rasid, Z. A. (2021) Enhancing the stabilization of aircraft pitch motion control via intelligent and classical method. In: IOP Conference Series: Materials Science and Engineering, 12 December 2017, Putrajaya, Malaysia. http://dx.doi.org/10.1088/1757-899X/270/1/012008
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Lukman, H.
Munawwarah, S.
Azizan, A.
Yakub, F.
Zaki, S. A.
Rasid, Z. A.
Enhancing the stabilization of aircraft pitch motion control via intelligent and classical method
description The pitching movement of an aircraft is very important to ensure passengers are intrinsically safe and the aircraft achieve its maximum stability. The equations governing the motion of an aircraft are a complex set of six nonlinear coupled differential equations. Under certain assumptions, it can be decoupled and linearized into longitudinal and lateral equations. Pitch control is a longitudinal problem and thus, only the longitudinal dynamics equations are involved in this system. It is a third order nonlinear system, which is linearized about the operating point. The system is also inherently unstable due to the presence of a free integrator. Because of this, a feedback controller is added in order to solve this problem and enhance the system performance. This study uses two approaches in designing controller: a conventional controller and an intelligent controller. The pitch control scheme consists of proportional, integral and derivatives (PID) for conventional controller and fuzzy logic control (FLC) for intelligent controller. Throughout the paper, the performance of the presented controllers are investigated and compared based on the common criteria of step response. Simulation results have been obtained and analysed by using Matlab and Simulink software. The study shows that FLC controller has higher ability to control and stabilize the aircraft's pitch angle as compared to PID controller.
format Conference or Workshop Item
author Lukman, H.
Munawwarah, S.
Azizan, A.
Yakub, F.
Zaki, S. A.
Rasid, Z. A.
author_facet Lukman, H.
Munawwarah, S.
Azizan, A.
Yakub, F.
Zaki, S. A.
Rasid, Z. A.
author_sort Lukman, H.
title Enhancing the stabilization of aircraft pitch motion control via intelligent and classical method
title_short Enhancing the stabilization of aircraft pitch motion control via intelligent and classical method
title_full Enhancing the stabilization of aircraft pitch motion control via intelligent and classical method
title_fullStr Enhancing the stabilization of aircraft pitch motion control via intelligent and classical method
title_full_unstemmed Enhancing the stabilization of aircraft pitch motion control via intelligent and classical method
title_sort enhancing the stabilization of aircraft pitch motion control via intelligent and classical method
publishDate 2021
url http://eprints.utm.my/id/eprint/97053/1/HLukman2017_EnhancingtheStabilizationofAircraft.pdf
http://eprints.utm.my/id/eprint/97053/
http://dx.doi.org/10.1088/1757-899X/270/1/012008
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score 13.211869