Abstract

This article presents a navigation method for an autonomous underwater vehicle being recovered by a human-occupied vehicle. The autonomous underwater vehicle is considered to carry underwater navigation sensors such as ultra-short baseline, Doppler velocity log, and inertial navigation system. Using these sensors’ information, a navigation module combining the ultra-short baseline positioning and inertial positioning is established. In this study, there is assumed to be no communication between the autonomous underwater vehicle and human-occupied vehicle; thus, to obtain the autonomous underwater vehicle position in the inertial coordinate, a conjecture method to obtain the human-occupied vehicle coordinates is proposed. To reduce the error accumulation of autonomous underwater vehicle navigation, a method called one-step dead reckoning positioning is proposed, and the one-step dead reckoning positioning is treated as a correction to combine with ultra-short baseline positioning by a data fusion algorithm. One-step dead reckoning positioning is a positioning method based on the previous time-step coordinates of the autonomous underwater vehicle.

Highlights

  • Autonomous underwater vehicles (AUVs) are used to perform many ocean missions

  • A large-scale Human-occupied vehicles (HOVs) equipped with autonomous underwater vehicles (AUVs) can carry out scientific inspection operations in a wider range and with higher efficiency, and it is of great significance for the detection of unknown hazards

  • An HOV can improve its overall capability by carrying AUVs; this has become a trend in HOV mission modes

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Summary

Introduction

Autonomous underwater vehicles (AUVs) are used to perform many ocean missions. A large-scale HOV equipped with AUV can carry out scientific inspection operations in a wider range and with higher efficiency, and it is of great significance for the detection of unknown hazards. Inertial navigation: Inertial navigation uses gyroscopic sensors to detect the acceleration of the AUV, and it can be combined to obtain the Doppler velocity log to obtain a more accurate measurement. Combining this information with the attitude information measured by compass is an integral operation to obtain the vehicle’s track.[10,11] A problem with inertial navigation is that the navigation errors are accumulated

Acoustic navigation
Findings
Conclusions and future research
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