Optimization of depth control for unmanned underwater vehicle using surrogate modeling technique

The underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain its position at a certain depth in order for it to perform desired operations. An effective controller is required for this purpose and hence the desi...

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Main Authors: Faruq, A., Abdullah, Shahrum Shah, Othman, Mohd. Fauzi, Mohd. Nor, Sulaiman
Format: Book Section
Published: IEEE 2011
Subjects:
Online Access:http://eprints.utm.my/id/eprint/29513/
http://dx.doi.org/10.1109/ICMSAO.2011.5775543
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spelling my.utm.295132017-02-04T07:30:14Z http://eprints.utm.my/id/eprint/29513/ Optimization of depth control for unmanned underwater vehicle using surrogate modeling technique Faruq, A. Abdullah, Shahrum Shah Othman, Mohd. Fauzi Mohd. Nor, Sulaiman Electrical Engineering The underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain its position at a certain depth in order for it to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this paper. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project is to show how a Radial Basis Function Surrogate Model can be used to tune the scaling factors of fuzzy logic controller quickly. By using offline optimization approach, Surrogate Modeling or sometimes called Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the Unmanned Underwater Vehicle. IEEE 2011 Book Section PeerReviewed Faruq, A. and Abdullah, Shahrum Shah and Othman, Mohd. Fauzi and Mohd. Nor, Sulaiman (2011) Optimization of depth control for unmanned underwater vehicle using surrogate modeling technique. In: 2011 4th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO). IEEE, Danvers, Massachusetts, 001-007. ISBN 978-145770005-7 http://dx.doi.org/10.1109/ICMSAO.2011.5775543 10.1109/ICMSAO.2011.5775543
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/
topic Electrical Engineering
spellingShingle Electrical Engineering
Faruq, A.
Abdullah, Shahrum Shah
Othman, Mohd. Fauzi
Mohd. Nor, Sulaiman
Optimization of depth control for unmanned underwater vehicle using surrogate modeling technique
description The underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain its position at a certain depth in order for it to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this paper. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project is to show how a Radial Basis Function Surrogate Model can be used to tune the scaling factors of fuzzy logic controller quickly. By using offline optimization approach, Surrogate Modeling or sometimes called Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the Unmanned Underwater Vehicle.
format Book Section
author Faruq, A.
Abdullah, Shahrum Shah
Othman, Mohd. Fauzi
Mohd. Nor, Sulaiman
author_facet Faruq, A.
Abdullah, Shahrum Shah
Othman, Mohd. Fauzi
Mohd. Nor, Sulaiman
author_sort Faruq, A.
title Optimization of depth control for unmanned underwater vehicle using surrogate modeling technique
title_short Optimization of depth control for unmanned underwater vehicle using surrogate modeling technique
title_full Optimization of depth control for unmanned underwater vehicle using surrogate modeling technique
title_fullStr Optimization of depth control for unmanned underwater vehicle using surrogate modeling technique
title_full_unstemmed Optimization of depth control for unmanned underwater vehicle using surrogate modeling technique
title_sort optimization of depth control for unmanned underwater vehicle using surrogate modeling technique
publisher IEEE
publishDate 2011
url http://eprints.utm.my/id/eprint/29513/
http://dx.doi.org/10.1109/ICMSAO.2011.5775543
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score 13.159267