Zobrazeno 1 - 10
of 142
pro vyhledávání: '"underwater robotic"'
Autor:
Mustafa Wassef Hasan
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 5, Iss , Pp 100280- (2023)
This paper presents an adaptive neuro-fuzzy-based nonlinear fractional order proportional integral derivative (ANF-NLFOPID) controller to stabilize six degrees of freedom (6-DOF) underwater robotic vehicle (URV). Generally, the stability of the URV s
Externí odkaz:
https://doaj.org/article/d5bed17a39644bfb9f597300cf370cbe
Autor:
Mustafa Wassef Hasan, Nizar Hadi Abbas
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 20, Iss 2, Pp 193-203 (2022)
An Adaptive Nonlinear PID (ANLPID) controller for six Degrees of Freedom (6-DOF) Underwater Robotic Vehicle (URV) model is proposed to solve the path tracking problem. The path tracking problem is mainly caused by external environmental disturbances
Externí odkaz:
https://doaj.org/article/94b3913fa36d48ba87be6b96ea1002ef
Akademický článek
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Autor:
Gang Ma, Muhammad Hanis Kamaruddin, Hooi-Siang Kang, Pei-Sean Goh, Moo-Hyun Kim, Kee-Quen Lee, Cheng-Yee Ng
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 2, Pp 1995-2007 (2021)
Self-healing mechanism (SHM) application has attracted interest due to ability to self-heal as response to damage situations in various conditions, and is being actively explored. However, the application of SHM that can be autonomously triggered for
Externí odkaz:
https://doaj.org/article/f0d29c69683f48b89cc01dd64723af06
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 2, p 277 (2023)
This work renders the design of a robust state feedback optimal control strategy for an Autonomous Underwater Robotic Vehicle (AURV). The control strategy is developed using a polytopic approach based on hydrodynamic parameter variation. Besides, a b
Externí odkaz:
https://doaj.org/article/fdb5e8250daa4b4ab4e35ecfc7fc24a0
Akademický článek
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Autor:
Jiaxing Wang, Mingqiang Yang, Zhongjun Ding, Qinghe Zheng, Deqiang Wang, Kidiyo Kpalma, Jinchang Ren
Publikováno v:
Sensors, Vol 21, Iss 20, p 6720 (2021)
Variations in the quantity of plankton impact the entire marine ecosystem. It is of great significance to accurately assess the dynamic evolution of the plankton for monitoring the marine environment and global climate change. In this paper, a novel
Externí odkaz:
https://doaj.org/article/913581a0287d4f9d903909c7323c1629
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7759 (2021)
The flow field is difficult to evaluate, and underwater robotics can only partly adapt to the submarine environment. However, fish can sense the complex underwater environment by their lateral line system. In order to reveal the fish flow sensing mec
Externí odkaz:
https://doaj.org/article/cdb9128210d54bbbad77260ebbf869ac
Publikováno v:
Sensors, Vol 21, Iss 12, p 3980 (2021)
The multi-sensor artificial lateral line system (ALLS) can identify the flow-field’s parameters to realize the closed-loop control of the underwater robotic fish. An inappropriate sensor placement of ALLS may result in inaccurate flow-field paramet
Externí odkaz:
https://doaj.org/article/f030f53c88f14e0eb4483c788f4e622f
Publikováno v:
Applied Sciences, Vol 11, Iss 8, p 3586 (2021)
This paper presents a novel online learning-based fault detection designed for underwater robotic thruster health monitoring. In the fault detection algorithm, we build a mathematical model between the control variable and the propeller speed by fitt
Externí odkaz:
https://doaj.org/article/418185af5c9e4318a11debf94beac662