Assessing the Feasibility of Integrating an Inertial Navigation System and DVL into an A-Sized AUVs

Anthony R Scudere, University of Rhode Island

Abstract

This work accesses the feasibility of integrating an inertial navigation system (INS) and Doppler Velocity Logger (DVL) into an A-size AUV that is 4.875” in diameter. The mechanical integration solution developed during this effort focused on developing a low size, weight, power, and cost (i.e. low SWaP-C) navigation module for the Bluefin SandShark. Unlike other approaches currently pursuing this same navigation problem, including those attempting novel acoustic based tracking or novel hydrodynamic model based navigation, this effort, instead, integrated a novel navigational software system developed by Charles River Analytics, called CAMINO, into the available internal volume of an A-size pressure vessel. CAMINO functionality is enabled by a set a suite of low SWaP-C electronics, and Teledyne Marine’s smallest commercial available DVL, the Pathfinder. These components, once mechanically integrated into a novel navigation module, are capable of providing low SWaP-C navigation capabilities to small AUVs. Furthermore, this work has the potential ability to have a significant impact on the proliferation of these easy-to-use, man portable vehicles that have otherwise been plagued with having a reputation of not being able to execute meaningful missions due to lacking navigation capabilities. Through Finite Element Analysis simulations, the mechanical design was proven to be pressure tolerant to a depth of 200m, with a minimum FOS of 2.16. Experimental testing of the CAMINO software demonstrated that over a 2,015m figure-8 pattern course, the system accrued 42m of positional error in both the X and Y directions, or a total of 2% of the distance traveled.

Subject Area

Engineering|Ocean engineering

Recommended Citation

Anthony R Scudere, "Assessing the Feasibility of Integrating an Inertial Navigation System and DVL into an A-Sized AUVs" (2019). Dissertations and Master's Theses (Campus Access). Paper AAI13858796.
https://digitalcommons.uri.edu/dissertations/AAI13858796

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