Hybrid DE-PEM algorithm for identification of UAV helicopter

Purpose – The purpose of this paper is to develop a hybrid algorithm using differential evolution (DE) and prediction error modeling (PEM) for identification of small-scale autonomous helicopter state-space model. Design/methodology/approach – In this study, flight data were collected and analyzed...

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Main Authors:	Tijani, Ismaila, Akmeliawati, Rini, Legowo, Ari, Budiyono, Agus, Abdul Muthalif, Asan Gani
Format:	Article
Language:	English
Published:	Emerald Group Publishing 2014
Subjects:	TJ212 Control engineering
Online Access:	http://irep.iium.edu.my/38669/ http://irep.iium.edu.my/38669/ http://irep.iium.edu.my/38669/ http://irep.iium.edu.my/38669/1/AEAT-11-2012-0226.pdf

id	iium-38669
recordtype	eprints
spelling	iium-386692014-10-09T08:26:42Z http://irep.iium.edu.my/38669/ Hybrid DE-PEM algorithm for identification of UAV helicopter Tijani, Ismaila Akmeliawati, Rini Legowo, Ari Budiyono, Agus Abdul Muthalif, Asan Gani TJ212 Control engineering Purpose – The purpose of this paper is to develop a hybrid algorithm using differential evolution (DE) and prediction error modeling (PEM) for identification of small-scale autonomous helicopter state-space model. Design/methodology/approach – In this study, flight data were collected and analyzed; MATLAB-based system identification algorithm was developed using DE and PEM; parameterized state-space model parameters were estimated using the developed algorithm and model dynamic analysis. Findings – The proposed hybrid algorithm improves the performance of the PEM algorithm in the identification of an autonomous helicopter model. It gives better results when compared with conventional PEM algorithm inside MATLAB toolboxes. Research limitations/implications – This study is applicable to only linearized state-space model. Practical implications – The identification algorithm is expected to facilitate the required model development for model-based control design for autonomous helicopter development. Originality/value – This study presents a novel hybrid algorithm for system identification of an autonomous helicopter model. Emerald Group Publishing 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/38669/1/AEAT-11-2012-0226.pdf Tijani, Ismaila and Akmeliawati, Rini and Legowo, Ari and Budiyono, Agus and Abdul Muthalif, Asan Gani (2014) Hybrid DE-PEM algorithm for identification of UAV helicopter. Aircraft Engineering and Aerospace Technology, 86 (5). pp. 385-405. ISSN 0002-2667 http://www.emeraldinsight.com/doi/full/10.1108/AEAT-11-2012-0226 10.1108/AEAT-11-2012-0226
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ212 Control engineering
spellingShingle	TJ212 Control engineering Tijani, Ismaila Akmeliawati, Rini Legowo, Ari Budiyono, Agus Abdul Muthalif, Asan Gani Hybrid DE-PEM algorithm for identification of UAV helicopter
description	Purpose – The purpose of this paper is to develop a hybrid algorithm using differential evolution (DE) and prediction error modeling (PEM) for identification of small-scale autonomous helicopter state-space model. Design/methodology/approach – In this study, flight data were collected and analyzed; MATLAB-based system identification algorithm was developed using DE and PEM; parameterized state-space model parameters were estimated using the developed algorithm and model dynamic analysis. Findings – The proposed hybrid algorithm improves the performance of the PEM algorithm in the identification of an autonomous helicopter model. It gives better results when compared with conventional PEM algorithm inside MATLAB toolboxes. Research limitations/implications – This study is applicable to only linearized state-space model. Practical implications – The identification algorithm is expected to facilitate the required model development for model-based control design for autonomous helicopter development. Originality/value – This study presents a novel hybrid algorithm for system identification of an autonomous helicopter model.
format	Article
author	Tijani, Ismaila Akmeliawati, Rini Legowo, Ari Budiyono, Agus Abdul Muthalif, Asan Gani
author_facet	Tijani, Ismaila Akmeliawati, Rini Legowo, Ari Budiyono, Agus Abdul Muthalif, Asan Gani
author_sort	Tijani, Ismaila
title	Hybrid DE-PEM algorithm for identification of UAV helicopter
title_short	Hybrid DE-PEM algorithm for identification of UAV helicopter
title_full	Hybrid DE-PEM algorithm for identification of UAV helicopter
title_fullStr	Hybrid DE-PEM algorithm for identification of UAV helicopter
title_full_unstemmed	Hybrid DE-PEM algorithm for identification of UAV helicopter
title_sort	hybrid de-pem algorithm for identification of uav helicopter
publisher	Emerald Group Publishing
publishDate	2014
url	http://irep.iium.edu.my/38669/ http://irep.iium.edu.my/38669/ http://irep.iium.edu.my/38669/ http://irep.iium.edu.my/38669/1/AEAT-11-2012-0226.pdf
first_indexed	2023-09-18T20:55:34Z
last_indexed	2023-09-18T20:55:34Z
_version_	1777410280481882112

Hybrid DE-PEM algorithm for identification of UAV helicopter

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