Abstract

The Technion autonomous underwater vehicle (TAUV) is an ongoing project aiming to develop and produce a small AUV to carry on research missions, including payload dropping, and to demonstrate acoustic communication. Its navigation system is based on an inertial navigation system (INS) aided by a Doppler velocity log (DVL), magnetometer, and pressure sensor (PS). In many INSs, such as the one used in TAUV, only the velocity vector (provided by the DVL) can be used for aiding the INS, i.e., enabling only a loosely coupled integration approach. In cases of partial DVL measurements, such as failure to maintain bottom lock, the DVL cannot estimate the vehicle velocity. Thus, in partial DVL situations no velocity data can be integrated into the TAUV INS, and as a result its navigation solution will drift in time. To circumvent that problem, we propose a DVL-based vehicle velocity solution using the measured partial raw data of the DVL and additional information, thereby deriving an extended loosely coupled (ELC) approach. The implementation of the ELC approach requires only software modification. In addition, we present the TAUV six degrees of freedom (6DOF) simulation that includes all functional subsystems. Using this simulation, the proposed approach is evaluated and the benefit of using it is shown.

Highlights

  • Underwater operations attract great attention for environmental matters and potential resources, as well as scientific interest

  • We propose the extended loosely coupled (ELC) approach for calculating vehicle velocity when only partial Doppler velocity log (DVL) measurements are available

  • We compare the performance of the ELC to the performance of the standalone inertial navigation system (INS) and tightly coupled (TC) fusion, in order to test the effectiveness of the approach

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Summary

Introduction

Underwater operations attract great attention for environmental matters and potential resources, as well as scientific interest. Most AUVs employ an inertial navigation system (INS) as their main navigation sensor [2,3,4]. This is for many reasons; one of which is that the INS is a standalone system that can provide all of the required navigation data: position, velocity and orientation. A the Technion autonomous underwater vehicle (TAUV). TAUV project goal is to develop and to to the Technion autonomous underwater vehicle (TAUV). The TAUV project goal is to develop and produce a small small autonomous autonomous underwater underwater vehicle, which will will serve serve as as aa technology technology demonstrator demonstrator and and produce a platform for various research programs. A top-level block diagram of LC and TC and TC approaches is presented

Figure
TAUV 6DOF Simulation
The vehicle
Navigation Filter
Doppler Solution
DVL Fusion
Virtual
Nullfying Sway Velocity
Partial LC Fusing
Virtual Heave Velocity
ELC Implemenation
Simulation Scenarios and Parameters
Simulation Results
Trajectory
Conclusions
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