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Modeling, Identification, and Control of an Unmanned Surface Vehicle

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dc.contributor.authorSonnenburg, Christian R.en
dc.contributor.committeechairWoolsey, Craig A.en
dc.contributor.committeechairStilwell, Daniel J.en
dc.contributor.committeememberMcCue-Weil, Leigh S.en
dc.contributor.committeememberFarhood, Mazen H.en
dc.contributor.departmentAerospace and Ocean Engineeringen
dc.date.accessioned2013-02-19T22:39:59Zen
dc.date.available2013-02-19T22:39:59Zen
dc.date.issued2013-01-16en
dc.description.abstractThis dissertation addresses the modeling, identification, and control of an automated planing vessel. To provide motion models for trajectory generation and to enable model-based control design for trajectory tracking, several experimentally identified models are compared over a wide range of speed and planing conditions for the Virginia Tech Ribcraft Unmanned Surface Vehicle. The modeling and identification objective is to determine a model which is sufficiently rich to enable effective model-based control design and trajectory optimization, sufficiently simple to allow parameter identification, and sufficiently general to describe a variety of hull forms and actuator configurations. Beginning with a 6 degree of freedom nonlinear dynamic model, several linear steering and speed models are obtained as well as a thruster model. The Ribcraft USV tracks trajectories generated with the selected maneuvering models by using a back- stepping trajectory controller. A PD cascade trajectory control law is also developed and the performance of the two controllers is compared using aggressive trajectories. The backstepping control law compares favorably to the PD cascade controller. The backstepping control law is then further modified to account for nonlinear sternward dynamics and for a constant or slowly varying fluid flow.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:151en
dc.identifier.urihttp://hdl.handle.net/10919/19240en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectParameter Identificationen
dc.subjectTrajectory Controlen
dc.subjectField Experimentationen
dc.subjectUnmanned Surface Vehicleen
dc.titleModeling, Identification, and Control of an Unmanned Surface Vehicleen
dc.typeDissertationen
thesis.degree.disciplineAerospace Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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