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Authors: Fethi Demim 1 ; Hadjira Belaidi 2 ; Abdenebi Rouigueb 3 ; Ali Messaoui 4 ; Kahina Louadj 5 ; Sofian Saghour 4 ; Mohamed Benatia 3 ; Mohamed Chergui 6 ; Abdelkrim Nemra 1 ; Ahmed Allam 6 and Elhaouari Kobzili 6

Affiliations: 1 Laboratory of Guidance and Navigation, Ecole Militaire Polytechnique, Bordj El Bahri, Algiers, Algeria ; 2 Signals and Systems Laboratory, Institute of Electrical and Electronic Engineering, University M’Hamed Bougara of Boumerdes, Boumerdes, Algeria ; 3 Laboratory of Artificial Intelligence and Virtual Reality, Ecole Militaire Polytechnique, Bordj El Bahri, Algiers, Algeria ; 4 Laboratory of Complex Systems Control and Simulators, Ecole Militaire Polytechnique, Algiers, Algeria ; 5 Laboratoire d’Informatique, Mathmatiques, et Physique pour l’Agriculture et les Forêts, Université de Bouira, Algeria ; 6 Ecole Nationale Polytechnique, Algiers, Algeria

Keyword(s): Unmanned Underwater Vehicles, RRT, LOS Based Navigation Guidance, Fuzzy Logic Control, Avoiding Obstacle.

Abstract: Trajectory planning is a critical action for achieving the objectives of Unmanned Underwater Vehicles (UUVs). To navigate through complex environments, this study investigates motion trajectory planning using Rapidly-exploring Random Trees (RRT) and Fuzzy Logic Control (FLC). Our goal is to explore the use of the RRT trajectory planning algorithm to generate waypoints in a known static environment. In this case, the UUV’s planned trajectory can meet the required conditions for obstacle avoidance. By using various objective functions, the model can be solved, and the corresponding control variables can be adjusted to effectively accomplish the requirements of underwater navigation. This technique has been successfully applied in various experimental scenarios, demonstrating the effectiveness of the FLC regulator. For instance, The 3D waypoint navigation challenge has been tackled by implementing the Fuzzy Controller, which utilizes the robust Line-Of-Sight (LOS) guidance technique. Ex perimental results demonstrate that the FLC regulator efficiently navigates through the waypoints, maintains an accurate course, controls the pitch and yaw angles of the UUV, and successfully reaches the final destination. (More)

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Paper citation in several formats:
Demim, F.; Belaidi, H.; Rouigueb, A.; Messaoui, A.; Louadj, K.; Saghour, S.; Benatia, M.; Chergui, M.; Nemra, A.; Allam, A. and Kobzili, E. (2023). Advanced Trajectory Planning and 3D Waypoints Navigation of Unmanned Underwater Vehicles Based Fuzzy Logic Control with LOS Guidance Technique. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-670-5; ISSN 2184-2809, SciTePress, pages 538-545. DOI: 10.5220/0012153200003543

@conference{icinco23,
author={Fethi Demim. and Hadjira Belaidi. and Abdenebi Rouigueb. and Ali Messaoui. and Kahina Louadj. and Sofian Saghour. and Mohamed Benatia. and Mohamed Chergui. and Abdelkrim Nemra. and Ahmed Allam. and Elhaouari Kobzili.},
title={Advanced Trajectory Planning and 3D Waypoints Navigation of Unmanned Underwater Vehicles Based Fuzzy Logic Control with LOS Guidance Technique},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2023},
pages={538-545},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012153200003543},
isbn={978-989-758-670-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Advanced Trajectory Planning and 3D Waypoints Navigation of Unmanned Underwater Vehicles Based Fuzzy Logic Control with LOS Guidance Technique
SN - 978-989-758-670-5
IS - 2184-2809
AU - Demim, F.
AU - Belaidi, H.
AU - Rouigueb, A.
AU - Messaoui, A.
AU - Louadj, K.
AU - Saghour, S.
AU - Benatia, M.
AU - Chergui, M.
AU - Nemra, A.
AU - Allam, A.
AU - Kobzili, E.
PY - 2023
SP - 538
EP - 545
DO - 10.5220/0012153200003543
PB - SciTePress