Submersible Position Prediction Model Based on HMM and Six Degrees of Freedom Motion

The mysterious deep sea has an unrivalled attraction for scientists worldwide, and the use of submersibles provides us with a clearer view of the seafloor and helps us gather information more safely. We must monitor the position information of the submersible in real time to ensure the safety of both the diver and the submersible. In this paper, we use the six-degree-of-freedom motion model and HMM to predict the motion state of the submersible, propose to replace the complex numerical simulation process of seawater motion with a stochastic process and estimate the parameter of the HMM by using the Baum-Welch algorithm. After the data analysis, the paper verified the model's applicability in the sea area and predicted the motion position of submersibles very well as the position prediction model of submersibles in the complex oceanic situation affected. Combined with the previous research results on the motion of the submersible, this paper provides some references for the research of the submersible motion prediction model.

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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2024-08-15
DOI
https://doi.org/10.54097/kbcmd345
Primary Topic
Maritime Navigation and Safety
Type
article
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article

Submersible Position Prediction Model Based on HMM and Six Degrees of Freedom Motion

Jiaxu Chen, Shaobo Yuan
Highlights in Science Engineering and Technology
Maritime Navigation and Safety
article

Submersible Position Prediction Model Based on HMM and Six Degrees of Freedom Motion

Jiaxu Chen, Shaobo Yuan
article en

Abstract

The mysterious deep sea has an unrivalled attraction for scientists worldwide, and the use of submersibles provides us with a clearer view of the seafloor and helps us gather information more safely. We must monitor the position information of the submersible in real time to ensure the safety of both the diver and the submersible. In this paper, we use the six-degree-of-freedom motion model and HMM to predict the motion state of the submersible, propose to replace the complex numerical simulation process of seawater motion with a stochastic process and estimate the parameter of the HMM by using the Baum-Welch algorithm. After the data analysis, the paper verified the model's applicability in the sea area and predicted the motion position of submersibles very well as the position prediction model of submersibles in the complex oceanic situation affected. Combined with the previous research results on the motion of the submersible, this paper provides some references for the research of the submersible motion prediction model.

Highlights in Science Engineering and TechnologyVol. 107
Nanjing University of Posts and Telecommunications (CN)
Life below water
Openalex Percentile: Top 83%
Maritime Navigation and Safety
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Submersible Position Prediction Model Based on HMM and Six Degrees of Freedom Motion — Jiaxu Chen, Shaobo Yuan · Highlights in Science Engineering and Technology (2024) | TGRS Research Map | TGRS