Hybrid DE-PEM algorithm for identification of UAV helicopter

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	5806/38669
Uncontrolled Keywords:	Differential evolution, Prediction error modeling, System identification, Unmanned helicopter system
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Prof. Dr. Rini Akmeliawati
Date Deposited:	09 Oct 2014 16:26
Last Modified:	09 Oct 2014 16:26
URI:	http://irep.iium.edu.my/id/eprint/38669

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