Force Field Identification and Positioning Control of an Autonomous Vessel using Inertial Measurement Units

In this thesis, a system of four sensors for measuring tri-axis translational accelerations and rotational velocities is designed. The sensors were mounted with a spatial distribution on board the ship model C/S Arctic Drillship. Experiments were carried out and sensor data was collected for waves w...

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Bibliographic Details
Main Author: Udjus, Guttorm
Other Authors: Skjetne, Roger, Heyn, Hans-Martin, Nguyen, Dong T.
Format: Master Thesis
Language:English
Published: NTNU 2017
Subjects:
Online Access:http://hdl.handle.net/11250/2456115
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record_format openpolar
spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2456115 2023-05-15T15:12:46+02:00 Force Field Identification and Positioning Control of an Autonomous Vessel using Inertial Measurement Units Udjus, Guttorm Skjetne, Roger Heyn, Hans-Martin Nguyen, Dong T. 2017 http://hdl.handle.net/11250/2456115 eng eng NTNU ntnudaim:17363 http://hdl.handle.net/11250/2456115 Marin teknikk Marin kybernetikk Master thesis 2017 ftntnutrondheimi 2019-09-17T06:52:50Z In this thesis, a system of four sensors for measuring tri-axis translational accelerations and rotational velocities is designed. The sensors were mounted with a spatial distribution on board the ship model C/S Arctic Drillship. Experiments were carried out and sensor data was collected for waves with various periods and incoming directions. The distributed acceleration measurements were used to estimate translational and rotational accelerations in Center of control. By comparing the estimated accelerations with the high-accuracy measurements from Qualisys, it was found that the system provides good estimates of the accelerations in Center of control. In addition, the local tri-axis translational accelerations in each sensor frame was estimated, to detect spatial variability of accelerations. This method also performs well, and provides a representation of local forces in the hull. Three methods to estimate the direction of incoming waves are proposed, where one is based on correlation between motion in roll, pitch and yaw, and the two others are based on local accelerations inside the hull. Analysis of motion in roll, pitch and yaw gave some results. Analysis of the horizontal accelerations in the hull was not successful as to detect the surrounding force field, while the heave accelerations gave a better image of the surrounding waves and forces. An algorithm for online estimation of direction of incoming waves was proposed, which was able to predict the direction of incoming waves for some periods. For a short video of some of the experiments and findings, the reader is referred to https://vimeo.com/222068786. In this video, the spatially distributed accelerations in each sensor are shown when the waves hit the vessel Master Thesis Arctic NTNU Open Archive (Norwegian University of Science and Technology) Arctic
institution Open Polar
collection NTNU Open Archive (Norwegian University of Science and Technology)
op_collection_id ftntnutrondheimi
language English
topic Marin teknikk
Marin kybernetikk
spellingShingle Marin teknikk
Marin kybernetikk
Udjus, Guttorm
Force Field Identification and Positioning Control of an Autonomous Vessel using Inertial Measurement Units
topic_facet Marin teknikk
Marin kybernetikk
description In this thesis, a system of four sensors for measuring tri-axis translational accelerations and rotational velocities is designed. The sensors were mounted with a spatial distribution on board the ship model C/S Arctic Drillship. Experiments were carried out and sensor data was collected for waves with various periods and incoming directions. The distributed acceleration measurements were used to estimate translational and rotational accelerations in Center of control. By comparing the estimated accelerations with the high-accuracy measurements from Qualisys, it was found that the system provides good estimates of the accelerations in Center of control. In addition, the local tri-axis translational accelerations in each sensor frame was estimated, to detect spatial variability of accelerations. This method also performs well, and provides a representation of local forces in the hull. Three methods to estimate the direction of incoming waves are proposed, where one is based on correlation between motion in roll, pitch and yaw, and the two others are based on local accelerations inside the hull. Analysis of motion in roll, pitch and yaw gave some results. Analysis of the horizontal accelerations in the hull was not successful as to detect the surrounding force field, while the heave accelerations gave a better image of the surrounding waves and forces. An algorithm for online estimation of direction of incoming waves was proposed, which was able to predict the direction of incoming waves for some periods. For a short video of some of the experiments and findings, the reader is referred to https://vimeo.com/222068786. In this video, the spatially distributed accelerations in each sensor are shown when the waves hit the vessel
author2 Skjetne, Roger
Heyn, Hans-Martin
Nguyen, Dong T.
format Master Thesis
author Udjus, Guttorm
author_facet Udjus, Guttorm
author_sort Udjus, Guttorm
title Force Field Identification and Positioning Control of an Autonomous Vessel using Inertial Measurement Units
title_short Force Field Identification and Positioning Control of an Autonomous Vessel using Inertial Measurement Units
title_full Force Field Identification and Positioning Control of an Autonomous Vessel using Inertial Measurement Units
title_fullStr Force Field Identification and Positioning Control of an Autonomous Vessel using Inertial Measurement Units
title_full_unstemmed Force Field Identification and Positioning Control of an Autonomous Vessel using Inertial Measurement Units
title_sort force field identification and positioning control of an autonomous vessel using inertial measurement units
publisher NTNU
publishDate 2017
url http://hdl.handle.net/11250/2456115
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation ntnudaim:17363
http://hdl.handle.net/11250/2456115
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