Design of Neural Network Control System for Controlling Trajectory of Autonomous Underwater Vehicles

Design of Neural Network Control System for Controlling Trajectory of Autonomous Underwater Vehicles

A neural network based robust control system design for the trajectory of Autonomous Underwater Vehicles (AUVs) is presented in this paper. Two types of control structure were used to control prescribed trajectories of an AUV. The vehicle was tested with random disturbances while taxiing under water...

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Bibliographic Details
Main Authors: İkbal Eski, SCahin Yildirim
Format: Article
Language:English
Published: SAGE Publishing 2014-01-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/56740
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spelling doaj-e97a5afda8284f5a91758554b9dbb8212020-11-25T03:02:54ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142014-01-011110.5772/5674010.5772_56740Design of Neural Network Control System for Controlling Trajectory of Autonomous Underwater Vehiclesİkbal Eski0SCahin Yildirim1 Department of Mechatronics Engineering, University of Erciyes, Kayseri Turkey Erciyes University, Faculty of Engineering, Mechatronics Engineering Department, Kayseri, TurkeyA neural network based robust control system design for the trajectory of Autonomous Underwater Vehicles (AUVs) is presented in this paper. Two types of control structure were used to control prescribed trajectories of an AUV. The vehicle was tested with random disturbances while taxiing under water. The results of the simulation showed that the proposed neural network based robust control system has superior performance in adapting to large random disturbances such as underwater flow. It is proved that this kind of neural predictor could be used in real-time AUV applications.https://doi.org/10.5772/56740
collection DOAJ
language English
format Article
sources DOAJ
author İkbal Eski
SCahin Yildirim
spellingShingle İkbal Eski
SCahin Yildirim
Design of Neural Network Control System for Controlling Trajectory of Autonomous Underwater Vehicles
International Journal of Advanced Robotic Systems
author_facet İkbal Eski
SCahin Yildirim
author_sort İkbal Eski
title Design of Neural Network Control System for Controlling Trajectory of Autonomous Underwater Vehicles
title_short Design of Neural Network Control System for Controlling Trajectory of Autonomous Underwater Vehicles
title_full Design of Neural Network Control System for Controlling Trajectory of Autonomous Underwater Vehicles
title_fullStr Design of Neural Network Control System for Controlling Trajectory of Autonomous Underwater Vehicles
title_full_unstemmed Design of Neural Network Control System for Controlling Trajectory of Autonomous Underwater Vehicles
title_sort design of neural network control system for controlling trajectory of autonomous underwater vehicles
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2014-01-01
description A neural network based robust control system design for the trajectory of Autonomous Underwater Vehicles (AUVs) is presented in this paper. Two types of control structure were used to control prescribed trajectories of an AUV. The vehicle was tested with random disturbances while taxiing under water. The results of the simulation showed that the proposed neural network based robust control system has superior performance in adapting to large random disturbances such as underwater flow. It is proved that this kind of neural predictor could be used in real-time AUV applications.
url https://doi.org/10.5772/56740
work_keys_str_mv AT ikbaleski designofneuralnetworkcontrolsystemforcontrollingtrajectoryofautonomousunderwatervehicles
AT scahinyildirim designofneuralnetworkcontrolsystemforcontrollingtrajectoryofautonomousunderwatervehicles
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