Critical Parameter Analysis for Optimized Gliding Performance of Autonomous Underwater Vehicles
Journal Title: Journal of Intelligent Systems and Control - Year 2024, Vol 3, Issue 3
Abstract
Underwater gliders have become a focal point in marine research due to advancements in maritime technologies and the increasing demand for versatile autonomous underwater vehicles (AUVs) in applications such as oceanography, environmental monitoring, and marine surveillance. This study provides a comprehensive analysis of the critical parameters influencing the gliding behavior of a newly designed AUV model, simulated using ANSYS Fluent. In this study, two essential gliding parameters were investigated: the critical angle of attack and the optimum wingspan. The model was fully submerged, and a three-dimensional representation of the AUV was employed to replicate realistic underwater dynamics. Navier-Stokes equations, coupled with continuity equations, were numerically solved to ensure mass and momentum conservation across the simulated environment. The model was rigorously validated against published experimental data, thereby establishing reliability in the simulated outcomes. The results reveal an optimum angle of attack that significantly enhances the glider’s maneuverability, facilitating efficient ascent and descent adjustments by the automated control system to navigate precise underwater positions. These findings contribute valuable insights for designing AUVs with enhanced autonomous control and efficient gliding capabilities, aiding in the effective application of AUVs across a range of marine environments.
Authors and Affiliations
Badar Ul Islam, Daim Badar, Nasreen Kausar
Keywords
Related Articles
- EP ID EP752429
- DOI https://doi.org/10.56578/jisc030302
- Views 19
- Downloads 0
Enhanced Interval State Estimation for Uncertain Systems
The quality of state estimation in uncertain systems exerts a significant impact on the performance of control systems. Within these uncertain systems, set-valued mappings introduce output uncertainties, complicating the...
Characterization of the Direct Current Micromotor by Simscape
Direct current (DC) micromotors play a key role in micro robotic systems. The DC micromotor has a large market demand but there is a lack of theoretical research for it. The DC micromotor is still usable in many applicat...
Neuro-Fuzzy Logic Controller for Switching Capacitor Banks in Power Factor Correction within the Manufacturing Industry
Regulatory bodies in electrical engineering mandate the installation of power factor (PF) improvement systems to elevate PF values to between 0.9 and 0.96. Compliance is enforced by regional or local utility companies th...
Optimization of Lateral Transfer Inventory of Auto Spare Parts Based on Neural Network Forecasting
Creating a fair replenishment strategy is one of the most significant instruments in the inventory management for automotive spare parts. It is also crucial to controlling the enterprise's inventory level. This study con...
A Few Maclaurin Symmetric Mean Aggregation Operators for Spherical Fuzzy Numbers Based on Schweizer-Sklar Operations and Their Use in Artificial Intelligence
One significant benefit of the Maclaurin symmetric mean (MSM) is that it is a generalization of many extend operators and can consider the interrelationships among the multi-input arguments, such as multi-attributes or m...