Modelling and essential control of an oceanographic monitoring remotely operated underwater vehicle
Ocean pollution and contamination of the water are serious problems because of its rapid increase and spread, having a negative effect on people, animals and the environment. Due to this, new technologies to monitor and measure environmental parameters are being developed. Remotely Operated Under...
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ndltd-PUCP-oai-tesis.pucp.edu.pe-20.500.12404-95162021-05-20T05:15:48Z Modelling and essential control of an oceanographic monitoring remotely operated underwater vehicle Rojas Mendoza, Jorge Enrique Cuéllar Córdova, Francisco Fabián Vehículos--Control automático Submarinos--Control automático Ocean pollution and contamination of the water are serious problems because of its rapid increase and spread, having a negative effect on people, animals and the environment. Due to this, new technologies to monitor and measure environmental parameters are being developed. Remotely Operated Underwater Vehicles (ROVs) have become a commonly used robotic platform in oceanographic monitoring and analysis. The ROVBWSTI, designed by Fraunhofer IOSB-AST Institute, is an underwater modular vehicle capable of fulfilling numerous tasks, especially in the area of environmental sensoring. The motion of the ROV is commanded through a joypad controller, and functional requirements of autonomy are not implemented yet. Motivated by this fact, this master thesis focuses on the modelling of the dynamics of the remotely operated vehicle, considering its motion, existing ocean currents, effects of gravitation and buoyancy. Moreover, the concrete effect of the thrusters on the ROV is analysed and identified. Furthermore, the detailed identification of the dynamic and hydrodynamic parameters required in the model is considered, based on empirical estimations, computational methods and experimental tests. The obtained approach is simulated and optimized, using real motion trials as a reference. After the successful modelling, the design of an essential control system that includes set-point regulation and waypoint tracking is performed and simulated. As a result, it obtains an accurate dynamic model of the remotely operated vehicle that was successfully simulated and compared with real motion tests. On the other hand, the proposed control system applied to the model adequately achieves its purpose of regulation and way point tracking that allows the autonomy of the vehicle. Tesis 2017-10-14T03:28:36Z 2017-10-14T03:28:36Z 2017 2017-10-14 info:eu-repo/semantics/masterThesis http://hdl.handle.net/20.500.12404/9516 eng Atribución-NoComercial-SinDerivadas 2.5 Perú info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/2.5/pe/ application/pdf Pontificia Universidad Católica del Perú PE Pontificia Universidad Católica del Perú Repositorio de Tesis - PUCP |
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English |
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Dissertation |
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Vehículos--Control automático Submarinos--Control automático |
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Vehículos--Control automático Submarinos--Control automático Rojas Mendoza, Jorge Enrique Modelling and essential control of an oceanographic monitoring remotely operated underwater vehicle |
description |
Ocean pollution and contamination of the water are serious problems because of its rapid
increase and spread, having a negative effect on people, animals and the environment.
Due to this, new technologies to monitor and measure environmental parameters are
being developed. Remotely Operated Underwater Vehicles (ROVs) have become a
commonly used robotic platform in oceanographic monitoring and analysis. The ROVBWSTI,
designed by Fraunhofer IOSB-AST Institute, is an underwater modular vehicle
capable of fulfilling numerous tasks, especially in the area of environmental sensoring.
The motion of the ROV is commanded through a joypad controller, and functional
requirements of autonomy are not implemented yet.
Motivated by this fact, this master thesis focuses on the modelling of the dynamics of
the remotely operated vehicle, considering its motion, existing ocean currents, effects
of gravitation and buoyancy. Moreover, the concrete effect of the thrusters on the
ROV is analysed and identified. Furthermore, the detailed identification of the dynamic
and hydrodynamic parameters required in the model is considered, based on empirical
estimations, computational methods and experimental tests. The obtained approach is
simulated and optimized, using real motion trials as a reference. After the successful
modelling, the design of an essential control system that includes set-point regulation
and waypoint tracking is performed and simulated.
As a result, it obtains an accurate dynamic model of the remotely operated vehicle that
was successfully simulated and compared with real motion tests. On the other hand,
the proposed control system applied to the model adequately achieves its purpose of
regulation and way point tracking that allows the autonomy of the vehicle. === Tesis |
author2 |
Cuéllar Córdova, Francisco Fabián |
author_facet |
Cuéllar Córdova, Francisco Fabián Rojas Mendoza, Jorge Enrique |
author |
Rojas Mendoza, Jorge Enrique |
author_sort |
Rojas Mendoza, Jorge Enrique |
title |
Modelling and essential control of an oceanographic monitoring remotely operated underwater vehicle |
title_short |
Modelling and essential control of an oceanographic monitoring remotely operated underwater vehicle |
title_full |
Modelling and essential control of an oceanographic monitoring remotely operated underwater vehicle |
title_fullStr |
Modelling and essential control of an oceanographic monitoring remotely operated underwater vehicle |
title_full_unstemmed |
Modelling and essential control of an oceanographic monitoring remotely operated underwater vehicle |
title_sort |
modelling and essential control of an oceanographic monitoring remotely operated underwater vehicle |
publisher |
Pontificia Universidad Católica del Perú |
publishDate |
2017 |
url |
http://hdl.handle.net/20.500.12404/9516 |
work_keys_str_mv |
AT rojasmendozajorgeenrique modellingandessentialcontrolofanoceanographicmonitoringremotelyoperatedunderwatervehicle |
_version_ |
1719405377097826304 |