NURP: Guidance and Positioning Algorithms for Unmanned Undersea Vehicle Swarms
Abstract
NURP: Guidance and Positioning Algorithms for Unmanned Undersea Vehicle SwarmsImproved autonomy of unmanned undersea vehicles (UUVs) is an important component of the mission of the Office of Naval Research (ONR). The undersea environment presents unique challeng"es compared to aerial environments, with particular limitations on the type of signals that can be received. These unique limitation"s prevent many of the advances on unmanned aerial vehicles (UAVs) from directly transferring to the UUV case. Lack of available data is a particularlysalient challenge which may be ameliorated by algorithms for collaborative systems of UUVs.This project will devise novel data assimilation and particle swarm optimization algorithms for automated control of distributed networks of UUVs. The ma"thematical tools involve filtering algorithms to assimilate noisy observed data, and swarm optimization algorithms to leverage commu"nication amongst agents of the network to accelerate completion of an objective or goal.Data from real UUV networks will be collect"ed in order to test, hone, validate, and ultimately demonstrate the guidance algorithms developed in this project.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 09, 2017
- Source ID
- N000141712590
Entities
People
- Akil C. Narayan
Organizations
- Office of Naval Research
- United States Navy
- University of Utah