The prototype of an unmanned underwater vehicle - stability and maintain a specified rate (original) (raw)
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The Prototype of an Unmanned Underwater Vehicle – Stability and Maintain a Specified Course
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The paper presents the modules of the control system remotely operated unmanned underwater vehicle used to stabilize the exchange rate and maintain the direction of motion. The authors present a simple control algorithms, and presented the verification of the assumed conditions of a real object. The control algorithms used information from the accelerometers, pressure sensors and an electronic compass.
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Sukkur IBA Journal of Emerging Technologies, 2018
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Underwater remotely operated vehicles (ROVs) play an important role in a number of shallow and deep-water missions for marine science, oil and gas extraction, exploration and salvage. In these applications, the motions of the ROV are guided either by a human pilot on a surface support vessel through an umbilical cord providing power and telemetry, or by an automatic pilot. In the case of automatic control, ROV state feedback is provided by acoustic and inertial sensors and this state information, along with a controller strategy, is used to perform several tasks such as station-keeping and auto-immersion/heading, among others. In this paper, the modelling, design and control of the Kaxan ROV is presented: i) The complete six degrees of freedom, non linear hydrodynamic model with its parameters, ii) the Kaxan hardware/software architecture, iii) numerical simulations in Matlab/Simulink platform of a model-free second order sliding mode control along with ocean currents as disturbance...
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Remotely operated underwater vehicle (ROUV) provides an interesting and extensible platform to search the wanted objects and for the inspection of deep sea. The basic goal of this research is to control the position and stabilize the dynamic behavior of ROUV. In this study, we design the dual controller approach design for controlling the overall responses of ROUV. The design dual controller consists of model reference adaptive control (MRAC) along with proportional integral derivative (PID) controller and an integral use for the feedback of the design scheme. The dynamic moments and disturbances in the system is dealt by MRAC controller and PID controller is responsible for tuning the adaptive gains of the system. However, Lyapunov stability criterion is responsible for the stability of the system. The inclusion of integrator as a feedback in the system increases the order of the system model, but it helps to eliminate the steady state error and also improves the convergence rate of the system. The designed control algorithm is tested and confirmed its validity using experiment and simulations by tracking the reference path of the ROUV. It is evidence that the designed control system shows quick convergence, improved steady state error and better robustness in the presence of disturbances.
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Underwater Remotely Operated Vehicle (ROV) control system architecture, work Class II-underwater inspection is demonstrated. The object is programmed on MATLAB simulink. The nonlinear modeled plants were processed by approximation way. Author planned a controller of an underwater ROV object. PID controller is used modeled plant. Tuning PID tool is used MATLAB for choose underwater ROV controller. Researchers tested an underwater ROV for system and solving problems an underwater ROV architecture.
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Unmanned Underwater Vehicles have gained popularity for the last decades, especially for the purpose of not risking human life in dangerous operations. On the other hand, underwater environment introduces numerous challenges in control, navigation and communication of such vehicles. Certainly, this fact makes the development of these vehicles more interesting and engineering-wise more attractive. In this review study, among the mentioned problems, we focus on the control of underwater vehicles, particularly the motion control. We try to summarize the evolution of the underwater vehicle motion control studies throughout the last two decades, and classify them.
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Operations and control of unmanned underwater vehicles
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An autonomous underwater platform
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