Review of low cost micro remotely operated underwater vehicle

R Singh, P Sarkar, V Goswami, R Yadav - Ocean Engineering, 2022 - Elsevier
This paper investigates and reviews the modeling and designs of ROVs, as well as their
control systems, and attempts to draw on their limitations in terms of structure, durability, and …

Hydrodynamic analysis-based modeling and experimental verification of a new water-jet thruster for an amphibious spherical robot

X Hou, S Guo, L Shi, H Xing, Y Liu, H Liu, Y Hu, D Xia… - Sensors, 2019 - mdpi.com
Thrusters are the bottom actuators of the amphibious spherical robot, and play an important
role in the motion control of these robots. To realize accurate motion control, a thrust model …

Dynamic analysis and path planning of a turtle-inspired amphibious spherical robot

L Zheng, Y Tang, S Guo, Y Ma, L Deng - Micromachines, 2022 - mdpi.com
A dynamic path-planning algorithm based on a general constrained optimization problem
(GCOP) model and a sequential quadratic programming (SQP) method with sensor input is …

Underactuated coupled nonlinear adaptive control synthesis using U-model for multivariable unmanned marine robotics

NAA Hussain, SSA Ali, M Ovinis, MR Arshad… - IEEE …, 2019 - ieeexplore.ieee.org
This paper presents the control modelling and synthesis using a coupled multivariable
under-actuated nonlinear adaptive U-model approach for an unmanned marine robotic …

Integrated navigation system (INS/auxiliary sensor) based on adaptive robust Kalman filter with partial measurements

SM Hosseini, A Ranjbar Noei… - Transactions of the …, 2023 - journals.sagepub.com
Inertial navigation system (INS) is the most common positioning system in the underwater
vehicle due to the limitations of penetration of the global navigation system. Amendment of …

[PDF][PDF] Comparison of controllers design performance for underwater remotely operated vehicle (ROV) depth control

H Harun, AF Husni, MB Rusli… - International Journal of …, 2018 - researchgate.net
This paper presented controller designs utilized in controlling the ROV depth control system
which involved Single Input Fuzzy Logic Controller (SIFLC), Adaptive Neural Fuzzy …

Depth control of an underwater remotely operated vehicle using neural network predictive control

MSM Aras, SS Abdullah, AFNA Rahman… - Jurnal …, 2015 - journals.utm.my
This paper investigates the depth control of an unmanned underwater remotely operated
vehicle (ROV) using neural network predictive control (NNPC). The NNPC is applied to …

A low-cost test bench for underwater thruster identification

A Laidani, M Bouhamida, M Benghanem, K Sammut… - IFAC-PapersOnLine, 2019 - Elsevier
Underwater vehicles are increasingly being used for the inspection of marine structures,
bathymetry and underwater intervention applications. The manoeuvring performance of …

Trajectory tracking control of an underwater vehicle in the presence of disturbance, measurement errors, and actuator dynamic and nonlinearity

M Hosseini, AR Noei, SJS Rostami - Robotica, 2023 - cambridge.org
Underwater vehicles are rich systems with attractive and challenging properties such as
nonlinearities, external disturbances, and underactuated dynamics. These make the design …

Tuning factor the single input fuzzy logic controller to improve the performances of depth control for underwater remotely operated vehicle

MSM Aras, AM Kassim, A Khamis… - 2013 European …, 2013 - ieeexplore.ieee.org
This paper investigates the factor of tuning variable parameter for Single Input Fuzzy Logic
Controller (SIFLC) to improve the performances of depth control for the underwater …