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System identification of parameterized state-space model of a small scale UAV helicopter

The success of model-based ight control law design for autonomous helicopter is largely dependent on the availability of reliable model of the system. Considering the complexity of the helicopter dynamics, and inherent di�culty involves with physical measurement of the system parameters, the gr...

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Main Authors: Ismaila B., Tijani, Akmeliawati, Rini, Legowo, Ari
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
TJ212 Control engineering
Online Access:http://irep.iium.edu.my/25614/1/MTNS2012_0290_paper.pdf
http://irep.iium.edu.my/25614/
http://www.mtns2012.conference.net.au/Full%20Paper/MTNS2012_0290_paper.pdf
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spelling my.iium.irep.256142012-08-30T03:14:00Z http://irep.iium.edu.my/25614/ System identification of parameterized state-space model of a small scale UAV helicopter Ismaila B., Tijani Akmeliawati, Rini Legowo, Ari TJ212 Control engineering The success of model-based ight control law design for autonomous helicopter is largely dependent on the availability of reliable model of the system. Considering the complexity of the helicopter dynamics, and inherent di�culty involves with physical measurement of the system parameters, the grey modeling approach which involves the development of parameterized model from �rst principles and estimation of these parameters using system identi�cation (sysID) technique has been proposed in the literatures. Prediction Error Modeling (PEM) algorithm has been identi�ed as an e�ective system identi�cation technique. However, application of this method to complex system like helicopter is not a trivial exercise due to inherent coupling in the system states and the challenges associated with parameter initialization in PEM algorithm. In this work, an e�ective procedure in application of PEM algorithm available in MATLAB toolbox is presented for small scale helicopter using real-time ight data. The approach was able to yield satisfactory model suitable for model-based ight control design. 2012 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/25614/1/MTNS2012_0290_paper.pdf Ismaila B., Tijani and Akmeliawati, Rini and Legowo, Ari (2012) System identification of parameterized state-space model of a small scale UAV helicopter. In: The 20th International Symposium on Mathematical Theory of Networks and Systems (MTNS), 9–13 July 2012, Melbourne, Australia. http://www.mtns2012.conference.net.au/Full%20Paper/MTNS2012_0290_paper.pdf
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TJ212 Control engineering
spellingShingle TJ212 Control engineering
Ismaila B., Tijani
Akmeliawati, Rini
Legowo, Ari
System identification of parameterized state-space model of a small scale UAV helicopter
description The success of model-based ight control law design for autonomous helicopter is largely dependent on the availability of reliable model of the system. Considering the complexity of the helicopter dynamics, and inherent di�culty involves with physical measurement of the system parameters, the grey modeling approach which involves the development of parameterized model from �rst principles and estimation of these parameters using system identi�cation (sysID) technique has been proposed in the literatures. Prediction Error Modeling (PEM) algorithm has been identi�ed as an e�ective system identi�cation technique. However, application of this method to complex system like helicopter is not a trivial exercise due to inherent coupling in the system states and the challenges associated with parameter initialization in PEM algorithm. In this work, an e�ective procedure in application of PEM algorithm available in MATLAB toolbox is presented for small scale helicopter using real-time ight data. The approach was able to yield satisfactory model suitable for model-based ight control design.
format Conference or Workshop Item
author Ismaila B., Tijani
Akmeliawati, Rini
Legowo, Ari
author_facet Ismaila B., Tijani
Akmeliawati, Rini
Legowo, Ari
author_sort Ismaila B., Tijani
title System identification of parameterized state-space model of a small scale UAV helicopter
title_short System identification of parameterized state-space model of a small scale UAV helicopter
title_full System identification of parameterized state-space model of a small scale UAV helicopter
title_fullStr System identification of parameterized state-space model of a small scale UAV helicopter
title_full_unstemmed System identification of parameterized state-space model of a small scale UAV helicopter
title_sort system identification of parameterized state-space model of a small scale uav helicopter
publishDate 2012
url http://irep.iium.edu.my/25614/1/MTNS2012_0290_paper.pdf
http://irep.iium.edu.my/25614/
http://www.mtns2012.conference.net.au/Full%20Paper/MTNS2012_0290_paper.pdf
_version_ 1643608970608246784
score 13.211869

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