Dynamic response and maneuvering strategies of a hybrid autonomous underwater vehicle in hovering

Thesis (S.M. in Ocean Engineering)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.

Bibliographic Details
Main Author: Cooney, Lauren Alise
Other Authors: Franz S. Hover.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/46648
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author Cooney, Lauren Alise
author2 Franz S. Hover.
author_facet Franz S. Hover.
Cooney, Lauren Alise
author_sort Cooney, Lauren Alise
collection MIT
description Thesis (S.M. in Ocean Engineering)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.
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spelling mit-1721.1/466482019-04-12T15:23:54Z Dynamic response and maneuvering strategies of a hybrid autonomous underwater vehicle in hovering Cooney, Lauren Alise Franz S. Hover. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.M. in Ocean Engineering)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009. Includes bibliographical references (p. 87-93). The Odyssey IV autonomous underwater vehicle (AUV) is the next generation of unmanned subsurface robots from the MIT Sea Grant AUV Laboratory. The Odyssey IV AUV has a novel propulsion system, which includes a pair of azimuthing thrusters for maneuvering in surge and heave. An analytical model was developed to describe the complex nonlinear vehicle dynamics, and experiments were performed to refine this model. The fluid dynamics of unsteady azimuthing marine propulsors are largely unstudied, especially for small vehicles like the Odyssey IV AUV. Experiments suggest that thrust developed by an azimuthing propulsor is dependent on the azimuth angle rate of change, and can substantially affect vehicle dynamics. A simple model capturing the effects of azimuthing on the thruster dynamics is developed, and is shown to improve behavior of the model.The use of azimuthing thrusters presents interesting problems and opportunities in maneuvering and control. Nonlinear model predictive control (MPC) is a technique that consists of the real-time optimization of a nonlinear dynamic system model, with the ability to handle constraints and nonlinearities. In this work, several variations of simulated and experimental MPC-based controllers are investigated. The primary challenge in applying nonlinear MPC to the Odyssey IV is solving the time intensive trajectory optimization problem online. Simulations suggest that MPC is able to capitalize on its knowledge of the system, allowing more aggressive trajectories than a traditional PID controller. by Lauren Alise Cooney. S.M.in Ocean Engineering 2009-08-26T17:11:58Z 2009-08-26T17:11:58Z 2009 2009 Thesis http://hdl.handle.net/1721.1/46648 426911252 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 93 p. application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Cooney, Lauren Alise
Dynamic response and maneuvering strategies of a hybrid autonomous underwater vehicle in hovering
title Dynamic response and maneuvering strategies of a hybrid autonomous underwater vehicle in hovering
title_full Dynamic response and maneuvering strategies of a hybrid autonomous underwater vehicle in hovering
title_fullStr Dynamic response and maneuvering strategies of a hybrid autonomous underwater vehicle in hovering
title_full_unstemmed Dynamic response and maneuvering strategies of a hybrid autonomous underwater vehicle in hovering
title_short Dynamic response and maneuvering strategies of a hybrid autonomous underwater vehicle in hovering
title_sort dynamic response and maneuvering strategies of a hybrid autonomous underwater vehicle in hovering
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/46648
work_keys_str_mv AT cooneylaurenalise dynamicresponseandmaneuveringstrategiesofahybridautonomousunderwatervehicleinhovering