MEMS IMU inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles

Thesis: S.M. in Oceanographic Engineering, Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Mechanical Engineering; and the Woods Hole Oceanographic Institution), 2017. === Cataloged from PDF version of thesis. === Includes bibliographical...

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Main Author: Kepper, James H., IV
Other Authors: James C. Kinsey.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/113756
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spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1137562019-05-02T15:34:54Z MEMS IMU inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles Microelectromechanical systems inertial measurement unit OWTT inertial measurement unit AUVs Kepper, James H., IV James C. Kinsey. Woods Hole Oceanographic Institution. Joint Program in Applied Ocean Science and Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Woods Hole Oceanographic Institution. Joint Program in Applied Ocean Science and Engineering. Mechanical Engineering. Woods Hole Oceanographic Institution. Sound Navigation Submersibles Thesis: S.M. in Oceanographic Engineering, Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Mechanical Engineering; and the Woods Hole Oceanographic Institution), 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 83-87). Recent advances in acoustic navigation methodologies are enabling the way for AUVs to extend their submerged mission time and maintain a bounded XY position error. Additionally, advances in inertial sensor technology have drastically lowered the size, power consumption, and cost of these sensors. Nonetheless, these sensors are still noisy and accrue error over time. This thesis builds on the research and recent developments in single beacon one-way-travel- time (OWTT) acoustic navigation and investigates the degree of bounding position error for small AUVs with a minimal navigation strap-down sensor suite, relying mostly on a consumer grade microelectromechanical system (MEMS) inertial measurement unit (IMU) and a vehicle's dynamic model velocity. An implementation of an Extended Kalman Filter (EKF) that includes IMU bias estimation and coupled with a range filter, is obtained in the field on two OceanServer Technology, Inc. Iver2 AUVs and one Bluefin Robotics SandShark [mu]AUV. Results from these field trials on Ashumet Pond of Falmouth, Massachusetts, the Charles River of Cambridge, Massachusetts, and Monterey Bay near Santa Cruz, California show a navigation solution accuracy comparable to current standard navigation techniques. by James H. Kepper, IV. S.M. in Oceanographic Engineering 2018-02-16T20:04:32Z 2018-02-16T20:04:32Z 2017 2017 Thesis http://hdl.handle.net/1721.1/113756 1021887525 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 87 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Joint Program in Applied Ocean Science and Engineering.
Mechanical Engineering.
Woods Hole Oceanographic Institution.
Sound
Navigation
Submersibles
spellingShingle Joint Program in Applied Ocean Science and Engineering.
Mechanical Engineering.
Woods Hole Oceanographic Institution.
Sound
Navigation
Submersibles
Kepper, James H., IV
MEMS IMU inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles
description Thesis: S.M. in Oceanographic Engineering, Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Mechanical Engineering; and the Woods Hole Oceanographic Institution), 2017. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 83-87). === Recent advances in acoustic navigation methodologies are enabling the way for AUVs to extend their submerged mission time and maintain a bounded XY position error. Additionally, advances in inertial sensor technology have drastically lowered the size, power consumption, and cost of these sensors. Nonetheless, these sensors are still noisy and accrue error over time. This thesis builds on the research and recent developments in single beacon one-way-travel- time (OWTT) acoustic navigation and investigates the degree of bounding position error for small AUVs with a minimal navigation strap-down sensor suite, relying mostly on a consumer grade microelectromechanical system (MEMS) inertial measurement unit (IMU) and a vehicle's dynamic model velocity. An implementation of an Extended Kalman Filter (EKF) that includes IMU bias estimation and coupled with a range filter, is obtained in the field on two OceanServer Technology, Inc. Iver2 AUVs and one Bluefin Robotics SandShark [mu]AUV. Results from these field trials on Ashumet Pond of Falmouth, Massachusetts, the Charles River of Cambridge, Massachusetts, and Monterey Bay near Santa Cruz, California show a navigation solution accuracy comparable to current standard navigation techniques. === by James H. Kepper, IV. === S.M. in Oceanographic Engineering
author2 James C. Kinsey.
author_facet James C. Kinsey.
Kepper, James H., IV
author Kepper, James H., IV
author_sort Kepper, James H., IV
title MEMS IMU inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles
title_short MEMS IMU inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles
title_full MEMS IMU inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles
title_fullStr MEMS IMU inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles
title_full_unstemmed MEMS IMU inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles
title_sort mems imu inertial measurement unit one-way-travel-time inertial measurement unit autonomous underwater vehicles
publisher Massachusetts Institute of Technology
publishDate 2018
url http://hdl.handle.net/1721.1/113756
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