Inertial Navigation system of In-pipe Inspection Robot

A Master of Science thesis in Mechatronics Engineering by Wasim Al-Masri entitled, "Inertial Navigation system of In-pipe Inspection Robot," submitted in May 2016. Thesis advisor is Dr. Mamoun Abdel-Hafez and thesis co-advisor is Dr. Mohammad A. Jaradat. Soft and hard copy available.

Saved in:
Bibliographic Details
Main Author: Al-Masri, Wasim (author)
Format: doctoralThesis
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/11073/8331
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864513439199657984
author Al-Masri, Wasim
author_facet Al-Masri, Wasim
author_role author
dc.contributor.none.fl_str_mv Abdel-Hafez, Mamoun
Jaradat, Mohammad
dc.creator.none.fl_str_mv Al-Masri, Wasim
dc.date.none.fl_str_mv 2016-06-07T07:58:10Z
2016-06-07T07:58:10Z
2016-05
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.identifier.none.fl_str_mv 35.232-2016.23
http://hdl.handle.net/11073/8331
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv inertial navigation system
reduced inertial sensor system
extended Kalman filter
sensor fusion
GPS
encoder
nonholonomic constraints
Inertial navigation systems
Pipelines
Inspection
Robots
Industrial
dc.title.none.fl_str_mv Inertial Navigation system of In-pipe Inspection Robot
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Mechatronics Engineering by Wasim Al-Masri entitled, "Inertial Navigation system of In-pipe Inspection Robot," submitted in May 2016. Thesis advisor is Dr. Mamoun Abdel-Hafez and thesis co-advisor is Dr. Mohammad A. Jaradat. Soft and hard copy available.
format doctoralThesis
id aus_f5ab2a3f977de5f2389506df9ee02d83
identifier_str_mv 35.232-2016.23
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/8331
publishDate 2016
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Inertial Navigation system of In-pipe Inspection RobotAl-Masri, Wasiminertial navigation systemreduced inertial sensor systemextended Kalman filtersensor fusionGPSencodernonholonomic constraintsInertial navigation systemsPipelinesInspectionRobotsIndustrialA Master of Science thesis in Mechatronics Engineering by Wasim Al-Masri entitled, "Inertial Navigation system of In-pipe Inspection Robot," submitted in May 2016. Thesis advisor is Dr. Mamoun Abdel-Hafez and thesis co-advisor is Dr. Mohammad A. Jaradat. Soft and hard copy available.The main goal of this study is to design and implement a robust inertial navigation system (INS) for in-pipe inspection robot. To achieve this goal, different mechanization approaches, that are derived in different frames or have different implementation methods, are investigated. These methods include INS derived in e-frame, INS derived in n-frame and 3D reduced inertial sensor system (RISS). The INS uses the full inertial measurement unit (IMU) data to calculate the navigation solution, whereas RISS uses encoder, one single-axis gyroscope, and two accelerometers. Advantages and disadvantages are highlighted for each approach. Due to accumulated error in the INS or RISS solution, a sensor fusion based on extended Kalman filter is proposed. The INS is proposed to be fused with encoder's derived velocity with velocity constraints, and with the detected pipe length as measurements to correct INS solution. RISS is proposed to be fused with the detected pipe length only as measurements to correct its solution. Subsequently, the accuracy of the proposed algorithm is verified experimentally. An experimental setup, with a prototype of the in-pipe robot, is designed and built to test and validate our algorithms in a real pipe. The accuracy of the proposed algorithms was around 3 cm after sensor fusion.College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR)Abdel-Hafez, MamounJaradat, Mohammad2016-06-07T07:58:10Z2016-06-07T07:58:10Z2016-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfapplication/pdf35.232-2016.23http://hdl.handle.net/11073/8331en_USoai:repository.aus.edu:11073/83312025-06-26T12:14:40Z
spellingShingle Inertial Navigation system of In-pipe Inspection Robot
Al-Masri, Wasim
inertial navigation system
reduced inertial sensor system
extended Kalman filter
sensor fusion
GPS
encoder
nonholonomic constraints
Inertial navigation systems
Pipelines
Inspection
Robots
Industrial
status_str publishedVersion
title Inertial Navigation system of In-pipe Inspection Robot
title_full Inertial Navigation system of In-pipe Inspection Robot
title_fullStr Inertial Navigation system of In-pipe Inspection Robot
title_full_unstemmed Inertial Navigation system of In-pipe Inspection Robot
title_short Inertial Navigation system of In-pipe Inspection Robot
title_sort Inertial Navigation system of In-pipe Inspection Robot
topic inertial navigation system
reduced inertial sensor system
extended Kalman filter
sensor fusion
GPS
encoder
nonholonomic constraints
Inertial navigation systems
Pipelines
Inspection
Robots
Industrial
url http://hdl.handle.net/11073/8331