Hydrodynamic Characteristic Studies of Underwater ROV. ANSYS – Fluent Simulation

Hnatiuc, Mihaela; Sabău, Adrian; Chetehouna, Khaled

doi:10.1109/siitme47687.2019.8990682

Cited by 2 publications

(8 citation statements)

References 3 publications

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“…Several works in the literature have also given evidence of this result [ 8 , 9 , 10 , 37 ]. The fact that the standard deviation of the linear damping coefficient is close to the value of the parameter could be attributed to the data points used to compute the parameters [ 4 , 5 , 6 , 16 , 37 ].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Such options, alongside the recent founds and improving methods on the Least Squares estimation technique [ 20 , 49 , 53 , 54 , 55 ], could improve the estimation of such parameters and lead to more efficient simulation algorithms. Nevertheless, some issues that are described in [ 6 ] can emerge, thus a careful use of the CFD software is suggested, yet it is a useful tool in early design stages, the estimation of the parameters should take place in real and virtual scenarios.…”

Section: Concluding Remarks and Future Workmentioning

confidence: 99%

“…The identification of the hydrodynamic parameters of autonomous underwater vehicles (AUVs) at the early stages of conception stands as the main motivation of the present work, since the hydrodynamic parameters could potentially serve as a measure of the design efficiency [ 4 , 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…In order to estimate the hydrodynamic parameters of a prescribed underwater vehicle, different experimental methodologies have been reported in the literature [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ], yet, the majority of them require the implementation of top-technological expensive gadgets and tools, which makes the design task difficult for those researchers whose budget and facilities are an issue to overcome. In this regard, the implementation of Computed Fluid Dynamics (CFD) software and other computational resources has emerged as an alternative to conceive the vehicles at the first stages of research.…”

Section: Introductionmentioning

confidence: 99%

“…The methodologies that were adopted by a scientist to accurately estimate the vehicles hydrodynamic characteristics are mainly those that have been used in experimental studies; thus, the issue to overcome, besides the computational cost, is to imitate the real scenario conditions in the software environment; issue that has been widely discussed in the literature and that has gathered the attention of researchers in early decades [ 6 , 7 , 8 , 9 , 10 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Mini-AUV Hydrodynamic Parameters Identification via CFD Simulations and Their Application on Control Performance Evaluation

Castillo-Zamora

Camarillo‐Gómez

Pérez-Soto

et al. 2021

Sensors

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This manuscript presents a fully detailed methodology in order to identify the hydrodynamic parameters of a mini autonomous underwater vehicle (mini-AUV) and evaluate its performance using different controllers. The methodology consists of close-to-reality simulation using a Computed Fluid Dynamics (CFD) module of the ANSYS™ Workbench software, the processing of the data, obtained by simulation, with a set of Savistky–Golay filters; and, the application of the Least Square Method in order to estimate the hydrodynamic parameters of the mini-AUV. Finally, these parameters are considered to design the three different controllers that are based on the robot manipulators theory. Numerical simulations are carried out to evaluate the performance of the controllers.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Concluding Remarks and Future Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Mini-AUV Hydrodynamic Parameters Identification via CFD Simulations and Their Application on Control Performance Evaluation

Castillo-Zamora

Camarillo‐Gómez

Pérez-Soto

et al. 2021

Sensors

View full text Add to dashboard Cite

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Development of an Underwater Detection Robot

2022

J. Phys.: Conf. Ser.

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The ocean contains huge valuable resources, due to the huge pressure in the deep water and the danger of diving, human development is very little. In this paper, we design a small underwater observation robot, which can replace human beings to dive into deep water, detect the deepwater area and sample the water quality. Following the principle of fish diving, the robot uses the piston bucket to pump water and drain water to change its gravity to achieve floating and diving. The main propeller at the tail provides the main driving force. The robot turns by propellers on both sides working at different speeds and propellers can change the thrust direction to provide assist force in the process of diving and floating. The structure design of the tumbler(the design of anti-roll) ensures the anti-interference ability of the robot to the wind and wave. In addition, the robot can be equipped with cameras, depth sensors, temperature and humidity sensors, and other sensors to achieve efficient underwater data sampling. The depth sensor, propeller, and pumping piston are used to control the hovering depth of the robot. The ROV can record good quality of video if provided with proper video graphic tool. The design of ROV which we have conceptualize, is handy and can be powered by 24V DC power which can be easily available at remote location. The experimental results verify the structural reliability of the underwater detection robot and provide a new mobile mechanism platform and a new idea for deep-sea exploration and scientific research.

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Hydrodynamic Characteristic Studies of Underwater ROV. ANSYS – Fluent Simulation

Cited by 2 publications

References 3 publications

Mini-AUV Hydrodynamic Parameters Identification via CFD Simulations and Their Application on Control Performance Evaluation

Mini-AUV Hydrodynamic Parameters Identification via CFD Simulations and Their Application on Control Performance Evaluation

Development of an Underwater Detection Robot

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