{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/9771"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/9771","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Robotics and power measurements of the RoboTuna","abstract":"The apparatus in the MIT Testing Tank provides a unique opportunity to study both the physics of unsteady flow control and the engineering complexities involved in constraining a vehicle within the geometry of a fish body. The bulk of the work in this study involves clarifying and solving issues with the mechanical and electrical systems of the RoboTuna. We worked toward making the prototype mechanism a robust laboratory instrument, de­ vising a strong scientific method, reinforcing existing technology and building apparatus to better visualize and quantify the flow field. As existing data for rigid body and ma.Et drag were sparse we conducted a rigorous study of these values. We streamlined the robot, both physically and computationally, revising the data acquisition hardware and software. Confidence in the accuracy of the sensors, and is a suitable calibration routine, is vital to the research. The robot's eighteen internal sensors had not been calibrated since they were installed. We developed an automated calibration routine for the position and load goad sensors, using the motor encoders and supplied torque to classify the built system. Characteristics of the mechanism and sensor performance are now easily, quickly and routinely monitored. Designing and constructing an extensive system for dye visualization and digital particle image velocimetry, we did preliminary work characterizing the boundary layer of the swimming robot. We compare results gathered from the boundary layer of the swimming robot to the law of the wall and real fish swimming. We conducted experimental swimming efficiency runs focusing on the repeatability of the system and its sensitivity to various measurement errors. We have outlined bounds on the validity of our computations and determined how well the RoboTuna is currently performing. As this work represents a piece in a significant ongoing effort, suggestions for future work are included.","abstract_html":"The apparatus in the MIT Testing Tank provides a unique opportunity to study both the physics of unsteady flow control and the engineering complexities involved in constraining a vehicle within the geometry of a fish body. The bulk of the work in this study involves clarifying and solving issues with the mechanical and electrical systems of the RoboTuna. We worked toward making the prototype mechanism a robust laboratory instrument, de­ vising a strong scientific method, reinforcing existing technology and building apparatus to better visualize and quantify the flow field. As existing data for rigid body and ma.Et drag were sparse we conducted a rigorous study of these values. We streamlined the robot, both physically and computationally, revising the data acquisition hardware and software. Confidence in the accuracy of the sensors, and is a suitable calibration routine, is vital to the research. The robot's eighteen internal sensors had not been calibrated since they were installed. We developed an automated calibration routine for the position and load goad sensors, using the motor encoders and supplied torque to classify the built system. Characteristics of the mechanism and sensor performance are now easily, quickly and routinely monitored. Designing and constructing an extensive system for dye visualization and digital particle image velocimetry, we did preliminary work characterizing the boundary layer of the swimming robot. We compare results gathered from the boundary layer of the swimming robot to the law of the wall and real fish swimming. We conducted experimental swimming efficiency runs focusing on the repeatability of the system and its sensitivity to various measurement errors. We have outlined bounds on the validity of our computations and determined how well the RoboTuna is currently performing. As this work represents a piece in a significant ongoing effort, suggestions for future work are included.","abstract_has_math":false,"creators":["Tolkoff, Samuel William, 1973-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Ocean Engineering","school":null,"contributors":[],"advisors":["Michael S. Triantafyllou and Douglas P. Hart."],"committee_chairs":[],"committee_members":[],"year":1999,"date_issued":"1999","date_published":"1999","updated_at":"2026-07-22T22:22:27Z","subjects":["Ocean Engineering","Mechanical Engineering"],"languages":["eng"],"rights":["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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/9771","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Michael S. Triantafyllou and Douglas P. Hart."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. 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The bulk of the work in this study involves clarifying and solving issues with the mechanical and electrical systems of the RoboTuna. We worked toward making the prototype mechanism a robust laboratory instrument, de­ vising a strong scientific method, reinforcing existing technology and building apparatus to better visualize and quantify the flow field. As existing data for rigid body and ma.Et drag were sparse we conducted a rigorous study of these values. We streamlined the robot, both physically and computationally, revising the data acquisition hardware and software. Confidence in the accuracy of the sensors, and is a suitable calibration routine, is vital to the research. The robot's eighteen internal sensors had not been calibrated since they were installed. We developed an automated calibration routine for the position and load goad sensors, using the motor encoders and supplied torque to classify the built system. Characteristics of the mechanism and sensor performance are now easily, quickly and routinely monitored. Designing and constructing an extensive system for dye visualization and digital particle image velocimetry, we did preliminary work characterizing the boundary layer of the swimming robot. We compare results gathered from the boundary layer of the swimming robot to the law of the wall and real fish swimming. We conducted experimental swimming efficiency runs focusing on the repeatability of the system and its sensitivity to various measurement errors. We have outlined bounds on the validity of our computations and determined how well the RoboTuna is currently performing. 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We worked toward making the prototype mechanism a robust laboratory instrument, de­ vising a strong scientific method, reinforcing existing technology and building apparatus to better visualize and quantify the flow field. As existing data for rigid body and ma.Et drag were sparse we conducted a rigorous study of these values. We streamlined the robot, both physically and computationally, revising the data acquisition hardware and software. Confidence in the accuracy of the sensors, and is a suitable calibration routine, is vital to the research. The robot's eighteen internal sensors had not been calibrated since they were installed. We developed an automated calibration routine for the position and load goad sensors, using the motor encoders and supplied torque to classify the built system. Characteristics of the mechanism and sensor performance are now easily, quickly and routinely monitored. Designing and constructing an extensive system for dye visualization and digital particle image velocimetry, we did preliminary work characterizing the boundary layer of the swimming robot. We compare results gathered from the boundary layer of the swimming robot to the law of the wall and real fish swimming. We conducted experimental swimming efficiency runs focusing on the repeatability of the system and its sensitivity to various measurement errors. We have outlined bounds on the validity of our computations and determined how well the RoboTuna is currently performing. As this work represents a piece in a significant ongoing effort, suggestions for future work are included."],"dc:description.degree":["S.M."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/9771"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. 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