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Proceedings ArticleDOI

Issues on control of underwater robotic vehicles

TLDR
Underwater robotic vehicles have greater speed, endurance and depth capability as well as a higher factor of safety than human divers but have difficult control problems.
Abstract
Underwater robotic vehicles (URVs) have greater speed, endurance and depth capability as well as a higher factor of safety than human divers. However, URVs have difficult control problems. Dynamics and control problems of the vehicle are discussed and some advanced vehicle technologies are reviewed in this presentation. >

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References
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Journal ArticleDOI

Robust trajectory control of underwater vehicles

TL;DR: In this article, a recent extension of sliding mode control is shown to handle nonlinearities, is highly robust to imprecise models, explicitly accounts for the presence of high-frequency unmodeled dynamics, and produces designs that are easy to understand.
Journal ArticleDOI

The influence of thruster dynamics on underwater vehicle behavior and their incorporation into control system design

TL;DR: In this paper, a nonlinear parametric model of a torque-controlled thruster is developed and experimentally confirmed, and three forms of compensation are tested, utilizing a hybrid simulation combining an instrumented thruster with a real-time mathematical vehicle model.
Journal ArticleDOI

Modeling and control of underwater robotic vehicles

TL;DR: The results show that the use of the adaptive control system can provide high performance of the vehicle in the presence of unpredictable changes in the dynamics of thevehicle and its environment.
Journal ArticleDOI

A neural net controller for underwater robotic vehicles

TL;DR: In this paper, a study on the application of neural networks to the control system of underwater robotic vehicles (URVs) is presented, where the robustness of the control systems with respect to nonlinear dynamic behavior and parameter uncertainties is investigated by computer simulation.
Journal ArticleDOI

Multivariable self-tuning autopilots for autonomous and remotely operated underwater vehicles

TL;DR: In this article, an implicit linear quadratic online self-tuning controller and a robust control law based on a first-order approximation of the open-loop dynamics and online recursive identification are presented.