Articles liés à Intelligence Control For An Unmanned Underwater Vehicle:...

Intelligence Control For An Unmanned Underwater Vehicle: Modeling, Optimization - Couverture souple

Faruq, Amrul; Bin Abdullah, Shahrum Shah

 
9783659247750: Intelligence Control For An Unmanned Underwater Vehicle: Modeling, Optimization
Couverture souple
ISBN 10 : 3659247758 ISBN 13 : 9783659247750
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order 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 book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain it position at a certain depth in order 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 book. The control algorithm is simulated by using the Marine Guidance Navigation and Control Simulator. The project shows a Radial Basis Function Metamodel can be used to tune the scaling factors of a Fuzzy Logic Controller. By using offline optimization approach, a comparison between Genetic Algorithm and Metamodeling has been done to minimize the Integral Square Error between the set point and the measured depth of the underwater vehicle. The results showed that it is possible to obtain a reasonably good error using Metamodeling approach in much a shorter time compared to the Genetic Algorithm approach.

Biographie de l'auteur

Amrul Faruq did B. Eng in Electrical Engineering at Muhammadiyah University of Malang, Indonesia in 2009. From 2007-2009 He worked as a senior assistant at Electrical Engineering Laboratory UMM. His M.Eng in Control and Optimization System at Universiti Teknologi Malaysia in 2012. Research Engineer at UTM, Malaysia.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659247758
ISBN 13 
9783659247750
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
Personne responsable
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