Paper
23 May 2023 Design and development of a remotely operated vehicle and its control system
Isaac Thomas Achentalika, Wang Liang
Author Affiliations +
Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126450M (2023) https://doi.org/10.1117/12.2680909
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China
Abstract
This paper describes a design for a new type of Remotely Operated Vehicle (ROV) and a system to control it. The ROV and its control system are part and parcel. The control part of the ROV includes the Data Acquisition Program. The Data Acquisition Program is a GUI-based computer program that allows the operator of the ROV to visualize telemetry data from the ROV. It provides near-instantaneous communication with the ROV. The computer-aided design of the prototype is made using Autodesk’s Fusion 360. Then the design was converted to Stereolithography (STL) format and passed through a slicing software called Cura in preparation for 3D printing. An Ender 3D printer was used to manufacture the parts of the design, using Polylactic Acid Thermoplastic Polymer. Computational Fluid Dynamics is conducted to analyze the fluid hydrodynamics (water and pressure flow rates) around the hull of the remotely operated vehicle and the drag force acting on it. Several experimental results have shown the effectiveness of the remotely operated vehicle design.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Isaac Thomas Achentalika and Wang Liang "Design and development of a remotely operated vehicle and its control system", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126450M (23 May 2023); https://doi.org/10.1117/12.2680909
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KEYWORDS
Design and modelling

Remotely operated vehicles

Actuators

Control systems

Sensors

Water

Autonomous vehicles

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