Establishment of a Pressure Variation Model for the State Estimation of an Underwater Vehicle

Author:

Kim Ji-Hye1ORCID,Mai Thi Loan1ORCID,Cho Aeri1ORCID,Heo Namug1,Yoon Hyeon Kyu1ORCID,Park Jin-Yeong2ORCID,Byun Sung-Hoon2

Affiliation:

1. Department of Smart Ocean Mobility Engineering, Changwon National University, Changwon 51140, Republic of Korea

2. Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon 34103, Republic of Korea

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 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%.

Funder

Korea Research Institute of Ships and Ocean engineering

Korea government

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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