Design and development of an autonomous underwater vehicle for underwater target navigation mission module
The Autonomous Underwater Vehicles (AUV) industry is growing dramatically with the increase in the reliability and technical abilities of these vehicles. The vehicles require autonomous guidance and control system in order to perform underwater tasks. The Target Navigation Mission Module (TNMM) perm...
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Springer Singapore
2019
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Online Access: | http://umpir.ump.edu.my/id/eprint/24850/ http://umpir.ump.edu.my/id/eprint/24850/ http://umpir.ump.edu.my/id/eprint/24850/ http://umpir.ump.edu.my/id/eprint/24850/1/28.%20Design%20and%20development%20of%20an%20autonomous%20underwater%20vehicle.pdf http://umpir.ump.edu.my/id/eprint/24850/2/28.1%20Design%20and%20development%20of%20an%20autonomous%20underwater%20vehicle.pdf |
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ump-248502019-11-12T03:25:22Z http://umpir.ump.edu.my/id/eprint/24850/ Design and development of an autonomous underwater vehicle for underwater target navigation mission module Muhammad Muzakkir, Ahmad Rosian Herda\vatie, Abdul Kadir Khalid, Isa Radzi, Ambar Mohd Rizal, Arshad Maziyah, Mat Noh Mohd Helmy, Abdul Wahab TK Electrical engineering. Electronics Nuclear engineering The Autonomous Underwater Vehicles (AUV) industry is growing dramatically with the increase in the reliability and technical abilities of these vehicles. The vehicles require autonomous guidance and control system in order to perform underwater tasks. The Target Navigation Mission Module (TNMM) permits the vehicle to follow preprogrammed trajectories wherever and whenever required. Without this module, the vehicle will not be able to achieve the desired mission. In this work, the Mission module were able to identify the task, detect the target, coordinate the state of AUV (attain desired height and yaw angle) and makes decision on path based on mission time elapsed. The Target Navigation Mission Module used the Kalman Filter algorithm to estimates the state of a system during the navigation. The results shows a reliable reading obtain by the AUV. Therefore, better decision on motion direction \Vere achieved. The AUV was able to navigate underwater and track underwater object without the need of operator assistance. Springer Singapore 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24850/1/28.%20Design%20and%20development%20of%20an%20autonomous%20underwater%20vehicle.pdf pdf en http://umpir.ump.edu.my/id/eprint/24850/2/28.1%20Design%20and%20development%20of%20an%20autonomous%20underwater%20vehicle.pdf Muhammad Muzakkir, Ahmad Rosian and Herda\vatie, Abdul Kadir and Khalid, Isa and Radzi, Ambar and Mohd Rizal, Arshad and Maziyah, Mat Noh and Mohd Helmy, Abdul Wahab (2019) Design and development of an autonomous underwater vehicle for underwater target navigation mission module. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018, 27-28 September 2018 , Universiti Malaysia Pahang. pp. 55-63., 538. ISBN 978-981-13-3708-6 https://doi.org/10.1007/978-981-13-3708-6_6 DOI: https://doi.org/10.1007/978-981-13-3708-6_6 |
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English English |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Muhammad Muzakkir, Ahmad Rosian Herda\vatie, Abdul Kadir Khalid, Isa Radzi, Ambar Mohd Rizal, Arshad Maziyah, Mat Noh Mohd Helmy, Abdul Wahab Design and development of an autonomous underwater vehicle for underwater target navigation mission module |
description |
The Autonomous Underwater Vehicles (AUV) industry is growing dramatically with the increase in the reliability and technical abilities of these vehicles. The vehicles require autonomous guidance and control system in order to perform underwater tasks. The Target Navigation Mission Module (TNMM) permits the vehicle to follow preprogrammed trajectories wherever and whenever required. Without this module, the vehicle will not be able to achieve the desired mission. In this work, the Mission module were able to identify the task, detect the target, coordinate the state of AUV (attain desired height and yaw angle) and makes decision on path based on mission time elapsed. The Target Navigation Mission Module used the Kalman Filter algorithm to estimates the state of a system during the navigation. The results shows a reliable reading obtain by the AUV. Therefore, better decision on motion direction \Vere achieved. The AUV was able to navigate underwater and track underwater object without the need of operator assistance. |
format |
Conference or Workshop Item |
author |
Muhammad Muzakkir, Ahmad Rosian Herda\vatie, Abdul Kadir Khalid, Isa Radzi, Ambar Mohd Rizal, Arshad Maziyah, Mat Noh Mohd Helmy, Abdul Wahab |
author_facet |
Muhammad Muzakkir, Ahmad Rosian Herda\vatie, Abdul Kadir Khalid, Isa Radzi, Ambar Mohd Rizal, Arshad Maziyah, Mat Noh Mohd Helmy, Abdul Wahab |
author_sort |
Muhammad Muzakkir, Ahmad Rosian |
title |
Design and development of an autonomous underwater vehicle for underwater target navigation mission module |
title_short |
Design and development of an autonomous underwater vehicle for underwater target navigation mission module |
title_full |
Design and development of an autonomous underwater vehicle for underwater target navigation mission module |
title_fullStr |
Design and development of an autonomous underwater vehicle for underwater target navigation mission module |
title_full_unstemmed |
Design and development of an autonomous underwater vehicle for underwater target navigation mission module |
title_sort |
design and development of an autonomous underwater vehicle for underwater target navigation mission module |
publisher |
Springer Singapore |
publishDate |
2019 |
url |
http://umpir.ump.edu.my/id/eprint/24850/ http://umpir.ump.edu.my/id/eprint/24850/ http://umpir.ump.edu.my/id/eprint/24850/ http://umpir.ump.edu.my/id/eprint/24850/1/28.%20Design%20and%20development%20of%20an%20autonomous%20underwater%20vehicle.pdf http://umpir.ump.edu.my/id/eprint/24850/2/28.1%20Design%20and%20development%20of%20an%20autonomous%20underwater%20vehicle.pdf |
first_indexed |
2023-09-18T22:37:51Z |
last_indexed |
2023-09-18T22:37:51Z |
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1777416716006981632 |