A simplified dynamics model for autonomous underwater vehicles

Author(s):  
M. Nahon
Author(s):  
Behzad Taheri ◽  
Edmond Richer

A new method of path planning and tracking while maintaining a constant distance from underwater moving objects has been developed for autonomous underwater vehicles (AUVs). First a kinematics controller that generates the proper trajectories is designed. Then a dynamics sliding mode controller is employed to drive the vehicle on the desired trajectories. The dynamics controller is robust against the parameter uncertainty in the dynamics model of the vehicle. Results of numerical simulations for INFANTE-AUV model show excellent performance for tracking of an object on sinusoidal trajectory.


2021 ◽  
Vol 2096 (1) ◽  
pp. 012148
Author(s):  
D A Yukhimets ◽  
S V Karmanova

Abstract The paper considers the problem of adjusting the value of a predetermined velocity required for horizontal motion of autonomous underwater vehicles (AUVs) in an environment containing obstacles, when trajectories change in order to avoid obstacles. Therewith, the velocity estimation generated during the re-planning of the AUVs motion trajectories is the maximum possible and is carried out on the basis of the AUVs dynamics model, considering their dynamic limitations and changes in the parameters of the motion trajectories. The topicality of the task is determined by the need to improve the efficiency of underwater missions in various areas of human activity (environmental monitoring, laying and maintenance of underwater communications, etc.). It depends on the mode of the AUVs motion: their velocity and parameters of the trajectories. The simulation results confirm the efficiency of the proposed method for estimating the maximum possible velocity of the AUVs motion.


Robotica ◽  
2021 ◽  
pp. 1-27
Author(s):  
Taha Elmokadem ◽  
Andrey V. Savkin

Abstract Unmanned aerial vehicles (UAVs) have become essential tools for exploring, mapping and inspection of unknown three-dimensional (3D) tunnel-like environments which is a very challenging problem. A computationally light navigation algorithm is developed in this paper for quadrotor UAVs to autonomously guide the vehicle through such environments. It uses sensors observations to safely guide the UAV along the tunnel axis while avoiding collisions with its walls. The approach is evaluated using several computer simulations with realistic sensing models and practical implementation with a quadrotor UAV. The proposed method is also applicable to other UAV types and autonomous underwater vehicles.


2021 ◽  
Vol 9 (3) ◽  
pp. 277
Author(s):  
Isaac Segovia Ramírez ◽  
Pedro José Bernalte Sánchez ◽  
Mayorkinos Papaelias ◽  
Fausto Pedro García Márquez

Submarine inspections and surveys require underwater vehicles to operate in deep waters efficiently, safely and reliably. Autonomous Underwater Vehicles employing advanced navigation and control systems present several advantages. Robust control algorithms and novel improvements in positioning and navigation are needed to optimize underwater operations. This paper proposes a new general formulation of this problem together with a basic approach for the management of deep underwater operations. This approach considers the field of view and the operational requirements as a fundamental input in the development of the trajectory in the autonomous guidance system. The constraints and involved variables are also defined, providing more accurate modelling compared with traditional formulations of the positioning system. Different case studies are presented based on commercial underwater cameras/sonars, analysing the influence of the main variables in the measurement process to obtain optimal resolution results. The application of this approach in autonomous underwater operations ensures suitable data acquisition processes according to the payload installed onboard.


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