QFT controller for nonlinear system application to 3-DOF flight control module

In this paper we proposed a new control method based on Quantitative Feedback Theory (QFT) to design practical controller methodology for uncertain characterized with three degree of freedom flight control module. Again linearly least phase systems must sacrifice to desirable feedback control benef...

Full description

Bibliographic Details
Main Authors: Boby , R. I., Mansor, Hasmah, Za'bah, Nor Farahidah, Abidin, Mohd Shahnan, Gunawan, Teddy Surya, Kazmi, S.A.
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2016
Subjects:
Online Access:http://irep.iium.edu.my/51105/
http://irep.iium.edu.my/51105/
http://irep.iium.edu.my/51105/1/ARPN2016jeas_0316_3939.pdf
id iium-51105
recordtype eprints
spelling iium-511052016-11-22T03:49:43Z http://irep.iium.edu.my/51105/ QFT controller for nonlinear system application to 3-DOF flight control module Boby , R. I. Mansor, Hasmah Za'bah, Nor Farahidah Abidin, Mohd Shahnan Gunawan, Teddy Surya Kazmi, S.A. T Technology (General) In this paper we proposed a new control method based on Quantitative Feedback Theory (QFT) to design practical controller methodology for uncertain characterized with three degree of freedom flight control module. Again linearly least phase systems must sacrifice to desirable feedback control benefits to avoid an excessive uncertain disturbance. While preserving the robust stability Quantitative Feedback Theory (QFT) controller is proposed to control highly uncertain plants. A 3-DOF flight control system is intrinsically nonlinear, unstable and totally uncertain because of the nature of three individual angles known as pitch, elevation and travel. Most controllers which are designed for 3-DOF helicopter flight systems are base on a minimal linearized model where system variants and uncertainties are not accommodated. Again, the controllers are mostly designed to gratify the gains and phase margin specifications that may not guarantee to handle the sensitivity. In proposed controller QFT may explicitly deal with uncertainty, where large plant parameter uncertainties with lower bandwidth can be achieved by QFT controller. Pre-filter technique may improve both robust stability and robust tracking performance within a desired precision of the individual uncertain parameters of 3-DOF module. This controller may handle large parameter uncertainties and disturbance with rugged stability. The random optimization technique is engaged in the design to optimize the overall performance of the controller. Simulation results and equations are used to show effective result of the proposed control methodology. Asian Research Publishing Network (ARPN) 2016-03-20 Article PeerReviewed application/pdf en http://irep.iium.edu.my/51105/1/ARPN2016jeas_0316_3939.pdf Boby , R. I. and Mansor, Hasmah and Za'bah, Nor Farahidah and Abidin, Mohd Shahnan and Gunawan, Teddy Surya and Kazmi, S.A. (2016) QFT controller for nonlinear system application to 3-DOF flight control module. ARPN Journal of Engineering and Applied Sciences, 11 (6). pp. 4172-4175. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3939.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Boby , R. I.
Mansor, Hasmah
Za'bah, Nor Farahidah
Abidin, Mohd Shahnan
Gunawan, Teddy Surya
Kazmi, S.A.
QFT controller for nonlinear system application to 3-DOF flight control module
description In this paper we proposed a new control method based on Quantitative Feedback Theory (QFT) to design practical controller methodology for uncertain characterized with three degree of freedom flight control module. Again linearly least phase systems must sacrifice to desirable feedback control benefits to avoid an excessive uncertain disturbance. While preserving the robust stability Quantitative Feedback Theory (QFT) controller is proposed to control highly uncertain plants. A 3-DOF flight control system is intrinsically nonlinear, unstable and totally uncertain because of the nature of three individual angles known as pitch, elevation and travel. Most controllers which are designed for 3-DOF helicopter flight systems are base on a minimal linearized model where system variants and uncertainties are not accommodated. Again, the controllers are mostly designed to gratify the gains and phase margin specifications that may not guarantee to handle the sensitivity. In proposed controller QFT may explicitly deal with uncertainty, where large plant parameter uncertainties with lower bandwidth can be achieved by QFT controller. Pre-filter technique may improve both robust stability and robust tracking performance within a desired precision of the individual uncertain parameters of 3-DOF module. This controller may handle large parameter uncertainties and disturbance with rugged stability. The random optimization technique is engaged in the design to optimize the overall performance of the controller. Simulation results and equations are used to show effective result of the proposed control methodology.
format Article
author Boby , R. I.
Mansor, Hasmah
Za'bah, Nor Farahidah
Abidin, Mohd Shahnan
Gunawan, Teddy Surya
Kazmi, S.A.
author_facet Boby , R. I.
Mansor, Hasmah
Za'bah, Nor Farahidah
Abidin, Mohd Shahnan
Gunawan, Teddy Surya
Kazmi, S.A.
author_sort Boby , R. I.
title QFT controller for nonlinear system application to 3-DOF flight control module
title_short QFT controller for nonlinear system application to 3-DOF flight control module
title_full QFT controller for nonlinear system application to 3-DOF flight control module
title_fullStr QFT controller for nonlinear system application to 3-DOF flight control module
title_full_unstemmed QFT controller for nonlinear system application to 3-DOF flight control module
title_sort qft controller for nonlinear system application to 3-dof flight control module
publisher Asian Research Publishing Network (ARPN)
publishDate 2016
url http://irep.iium.edu.my/51105/
http://irep.iium.edu.my/51105/
http://irep.iium.edu.my/51105/1/ARPN2016jeas_0316_3939.pdf
first_indexed 2023-09-18T21:12:18Z
last_indexed 2023-09-18T21:12:18Z
_version_ 1777411333961023488