Development of a real-time aided inertia navigation system for an underwater robotic vehicle

This thesis explores the development on an Aided Inertial Navigation System (AINS) for a compact, low cost twin-barrel URV developed by the Mechanical and Production Engineering (MPE) department of Nanyang Technological University (NTU), Singapore. This system uses low cost sensors, which produce la...

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Autor principal: Mohammad, Dzulkifli Mohyi Hapipi
Outros Autores: Eicher Low
Formato: Tese
Publicado em: 2008
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/6166
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author Mohammad, Dzulkifli Mohyi Hapipi
author2 Eicher Low
author_facet Eicher Low
Mohammad, Dzulkifli Mohyi Hapipi
author_sort Mohammad, Dzulkifli Mohyi Hapipi
collection NTU
description This thesis explores the development on an Aided Inertial Navigation System (AINS) for a compact, low cost twin-barrel URV developed by the Mechanical and Production Engineering (MPE) department of Nanyang Technological University (NTU), Singapore. This system uses low cost sensors, which produce large drifts and bias errors. Low cost sensors have errors up to 1000 times larger than high cost precision sensors. The URV utilises the IMU600CA-200 inertial sensor from Crossbow and is aided by non-inertial sensors such as Argonaut MD Velocity Doppler from Sontek, KVH compass, Tritech Altimeter, Crossbow Tilt sensor, Sonavision scanning sonar and Falmouth pressure sensor. Relying of the fast update rate of the IMU, the additional sensors aids the IMU by correct the vehicle states at periodic interval. All the data processing had to be done by an onboard Octagon microcomputer running at 133 MHz. For optimal performance, QNX 4.25 operating system was used to enable real time processing for the sensors. For the navigation system to function as required, the sensors, computer hardware and operating system need to be optimally configured.
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spelling ntu-10356/61662023-03-11T18:08:17Z Development of a real-time aided inertia navigation system for an underwater robotic vehicle Mohammad, Dzulkifli Mohyi Hapipi Eicher Low School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Motor vehicles This thesis explores the development on an Aided Inertial Navigation System (AINS) for a compact, low cost twin-barrel URV developed by the Mechanical and Production Engineering (MPE) department of Nanyang Technological University (NTU), Singapore. This system uses low cost sensors, which produce large drifts and bias errors. Low cost sensors have errors up to 1000 times larger than high cost precision sensors. The URV utilises the IMU600CA-200 inertial sensor from Crossbow and is aided by non-inertial sensors such as Argonaut MD Velocity Doppler from Sontek, KVH compass, Tritech Altimeter, Crossbow Tilt sensor, Sonavision scanning sonar and Falmouth pressure sensor. Relying of the fast update rate of the IMU, the additional sensors aids the IMU by correct the vehicle states at periodic interval. All the data processing had to be done by an onboard Octagon microcomputer running at 133 MHz. For optimal performance, QNX 4.25 operating system was used to enable real time processing for the sensors. For the navigation system to function as required, the sensors, computer hardware and operating system need to be optimally configured. MASTER OF ENGINEERING (MPE) 2008-09-17T11:08:18Z 2008-09-17T11:08:18Z 2005 2005 Thesis Mohammad, D. M. H. (2005). Development of a real-time aided inertia navigation system for an underwater robotic vehicle. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/6166 10.32657/10356/6166 Nanyang Technological University application/pdf
spellingShingle DRNTU::Engineering::Mechanical engineering::Motor vehicles
Mohammad, Dzulkifli Mohyi Hapipi
Development of a real-time aided inertia navigation system for an underwater robotic vehicle
title Development of a real-time aided inertia navigation system for an underwater robotic vehicle
title_full Development of a real-time aided inertia navigation system for an underwater robotic vehicle
title_fullStr Development of a real-time aided inertia navigation system for an underwater robotic vehicle
title_full_unstemmed Development of a real-time aided inertia navigation system for an underwater robotic vehicle
title_short Development of a real-time aided inertia navigation system for an underwater robotic vehicle
title_sort development of a real time aided inertia navigation system for an underwater robotic vehicle
topic DRNTU::Engineering::Mechanical engineering::Motor vehicles
url https://hdl.handle.net/10356/6166
work_keys_str_mv AT mohammaddzulkiflimohyihapipi developmentofarealtimeaidedinertianavigationsystemforanunderwaterroboticvehicle