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Keywords = artificial lateral line system (ALLSs)

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19 pages, 8873 KiB  
Article
Establishment of a Pressure Variation Model for the State Estimation of an Underwater Vehicle
by Ji-Hye Kim, Thi Loan Mai, Aeri Cho, Namug Heo, Hyeon Kyu Yoon, Jin-Yeong Park and Sung-Hoon Byun
Appl. Sci. 2024, 14(3), 970; https://doi.org/10.3390/app14030970 - 23 Jan 2024
Cited by 4 | Viewed by 1320
Abstract
This study presents a pressure variation model (PVM) derived from the regression analysis of dynamic pressure computed through numerical analysis to estimate the velocity of underwater vehicles. Furthermore, the drift angle estimation algorithm was developed using predicted velocities from PVM and pressure sensor [...] Read more.
This study presents a pressure variation model (PVM) derived from the regression analysis of dynamic pressure computed through numerical analysis to estimate the velocity of underwater vehicles. Furthermore, the drift angle estimation algorithm was developed using predicted velocities from PVM and pressure sensor differences. This approach estimates the single-motion states of underwater vehicles, such as straight, turning, and gliding. Furthermore, it confirms the viability of state estimation even in multiple motions involving turning and gliding motion with a drift angle and spiral motion. The comparison with numerical analysis results validated prediction accuracy within 15%. Full article
(This article belongs to the Special Issue Recent Advances in Underwater Vehicles)
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