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Performance of small thrusters and propulsion systems /Saunders, Thomas E. January 1990 (has links) (PDF)
Thesis (M.S. in Mechanical Engineering)--Naval Postgraduate School, March 1990. / Thesis Advisor(s): Healey, A.J. Second Reader: Reid, Glenn N. "March 1990." Description based on signature page as viewed on October 21, 2009. DTIC identifier(s): AUV(Autonomous Underwater Vehicles), thrusters, underwater vehicles, self operation, marine propellers, thrust, shipmotion, thesis. Author(s) subject terms: Autonomous Underwater Vehicle, AUV, Unmanned Untethered Underwater Vehicle, UUV, underwater vehicle systems design, propulsors, small thrusters. Includes bibliographical references (p. 73). Also available online.
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Design, analysis, manufacture, and test of composite pressure vessels and finite element analysis of metallic frame for deep ocean underwater vehicle applicationsYousefpour, Ali. January 2000 (has links)
Thesis (Ph. D.)--University of Hawaii at Manoa, 2000. / Includes bibliographical references (leaves 163-166). Also available on microfiche.
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Decoupled modelling and controller design for the hybrid autonomous underwater vehicle : MACOKennedy, Jeff (Jeffrey Douglas Martin) 10 April 2008 (has links)
No description available.
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Obstacle avoidance control for the REMUS autonomous underwater vehicle /Fodrea, Lynn. January 2002 (has links) (PDF)
Thesis (M.S. in Mechanical Engineering)--Naval Postgraduate School, December 2002. / Thesis advisor(s): Anthony J. Healey. Includes bibliographical references (p. 59-61). Also available online.
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Target tracking onboard an autonomous underwater vehicle: determining optimal towed array heading in an anisotropic noise fieldParra-Orlandoni, Maria Alejandra. 09 1900 (has links)
In order to overcome the challenges that an anisotropic noise field poses for underwater target tracking, we conduct an onboard estimation of the horizontal noise directionality in the real-time processing suite of an autonomous underwater vehicle (AUV) towing a horizontal line array. The estimation of the noise directionality is a precursor to another adaptive behavior: optimizing tracking capability of a towed array by choosing a particular heading that minimizes the detection level in the target's direction. In each distinct simulated anisotropic noise field, the AUV successfully calculates the optimal towed array headings based on the real-time estimation of the horizontal noise directionality. The findings reveal a clear advantage over the conventional broadside beam tracking method, with some limitations due predominantly to the noise field itself. / Contract number: N62271-97-G-0026
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Obstacle avoidance control in the vertical plane for the REMUS autonomous underwater vehicleChuhran, Christopher D. 09 1900 (has links)
As the Navy continues its development of unmanned underwater vehicles, the need for total autonomous missions grows. Autonomous Underwater Vehicles (AUV) allow for advances in mine warfare, harbor reconnaissance, undersea warfare and more. Information can be collected from AUVs and downloaded into a ship or battle group.s network. As AUVs are developed it is clear forward-look sonar will be required to be able to detect obstacles in front of its search path. Common obstacles in the littoral environment include reefs and seawalls which an AUV will need to rise above to pass. This thesis examines the behavior and control system required for an AUV to maneuver over an obstacle in the vertical plane. Hydrodynamic modeling of a REMUS vehicle enables a series of equations of motion to be developed to be used in conjunction with a sliding mode controller to control the elevation of the AUV. A two-dimensional, 24o vertical scan forward look sonar with a range of 100 m is modeled for obstacle detection. Sonar mappings from geographic range-bearing coordinates are developed for use in MATLAB simulations. The sonar .image. of the vertical obstacle allows for an increasing altitude command that forces the AUV to pass safely over the obstacles at a reasonable rate of ascent and pitch angle. Once the AUV has passed over the obstacle, the vehicle returns to its regular search altitude. This controller is simulated over different types of obstacles. / US Navy (USN) author.
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Automated gait synthesis and path planning for legged underwater vehicles /German, Andrew. January 2008 (has links)
Thesis (M.Sc.)--York University, 2008. Graduate Programme in Science. / Typescript. Includes bibliographical references (leaves 156-160). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR45937
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Trajectory planning for the Aries AUV /Keegan, John J. January 2002 (has links) (PDF)
Thesis (M.S.)--Naval Postgraduate School, 2002. / Thesis advisor(s): Anthony J. Healey. Includes bibliographical references (p. 99-101). Also available online.
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Obstacle avoidance control in the vertical plane for the REMUS autonomous underwater vehicle /Chuhran, Christopher D. January 2003 (has links) (PDF)
Thesis (M.S. in Mechanical Engineering)--Naval Postgraduate School, September 2003. / Thesis advisor(s): Anthony J. Healey. Includes bibliographical references (p. 45). Also available online.
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Design considerations for engineering autonomous underwater vehiclesShah, Vikrant P. January 2007 (has links)
Thesis (Master of Science)--Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2007. / Title from Web page (viewed on Mar. 21, 2008). Includes bibliographical references (p. 85-89).
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