NDLI: Advanced Underwater Power Systems

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Proceedings of the 6th International Symposium on Unmanned Untethered Submersible Technology,

Proceedings of the 6th International Symposium on Unmanned Untethered Submersible Technology

"Mac-AROV"- A versatile testbed for real applications

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Software Development for the Autonomous Submersible Program at MIT Sea Grant and Draper Laboratory

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A Signal Processing System for Underwater Acoustic ROV Communication

Adaptive Estimation of an Underwater Acoustic Channel Using Real Test Data

Flextensional transducers applied to long range hydroacoustic communication

Operational Planning and Programming of Autonomous Underwater Vehicles

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Silver-Iron Batteries for Submersible Applications

Test Results from a 15 Kw Air-Independent Stirling Power Generator

Enhanced Mission Duration for an Underwater Vehicle Using a Proton Exchange Membrane Fuel Cell Power Source

Thermochemical Power Systems for Underwater Applications

Advanced Underwater Power Systems

A Comparative Analysis of Electrochemical Power Sources for the Darpa Uuv Program

The Aluminum-Oxygen Fuel Cell as a Power Sources for Submersibles

Energy Systems for Increased Endurance of Unmanned Untethered Submersible Vehicles

High Performance Storage Battery on Board of Unmanned Untethered Submersible Vehicles

Intelligent Planning for a Search and Surveillance Unmanned Underwater Vehicle (uuv)

Intelligent Waypoint Transiting in Complex Auv Environs

Autonomous Knowledge-Based Navigation in an Unknown Two-Dimensional Environment with Convex Polygon Obstacles

Optimal Obstacle Avoidance Path Planning for Autonomous Underwater Vehicles

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A Situation Assessment System for the Msel Eave-III Auvs

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Automatic Target Detection and Cuing System for an Autonomous Underwater Vehicle (auv)

Three-Dimensional Modeling of Seafloor Backscatter from Sidescan Sonar for Autonomous Classification and Navigation

Signal Processing and Data Fusion for Autonomous Undersea Vehicles

Knowledge Based Sensor Interpretation for Autonomous Underwater Systems

Side Scan Sonar Object Classification Algorithms

The Use of a Simple Neural Network in the Motion Control of Unmanned Undersea Vehicles

Guidance and Control System of the Large Scale Vehicle

Attitude control system of a streamlined cruising type autonomous submersible

Design and Experimental Verification of a Model Based Compensator for Rapid Auv Depth Control

Flight Testing of a Sliding Mode Control Autopilot for an Unmanned Underwater Vehicle

Reconfigurable Control of an Autonomous Underwater Vehicle

Development of a Terrain Navigation System for AUV's

Terrain Modeling for Autonomous Underwater Navigation

A Simple World Model for an Autonomous Vehicle

Evolution of an Auv Mission Simulation Testbed

Modeling, Sliding Mode Control Design, and Visual Simulation of Auv Dive Plane Dynamic Response

The impact of speed-varying hydrodynamic coefficients of uuv maneuvering performance

Design and Performance Analysis of Automatic Control Systems for Underwater Vehicles

Adaptive Identification and Control of an Autonomous Underwater Vehicle

On the Threshold of Maturity - a Summary

Proceedings of the 1987 5th International Symposium on Unmanned Untethered Submersible Technology

Proceedings of the 1985 4th International Symposium on Unmanned Untethered Submersible Technology

Proceedings of the 1983 3rd International Symposium on Unmanned Untethered Submersible Technology

Proceedings of the 1981 2nd International Symposium on Unmanned Untethered Submersible Technology

Proceedings of the 1980 1st International Symposium on Unmanned Untethered Submersible Technology

Advanced Underwater Power Systems

Content Provider	IEEE Xplore Digital Library
Author	Ruggeri, R.T.
Copyright Year	1989
Description	Author affiliation: Seattle Washington (Ruggeri, R.T.)
Abstract	With the advent of new computers and artificial intelligence comes the capability to perform many underwater tasks automatically. Unmanned machines can perform hazardous underwater work for long periods, more economically, and with less risk than comparable manned systems. Typically the power demand for both artificial intelligence and propulsion systems is very high in the underwater environment. In addition, some stationary power systems need to operate unattended for up to 10 years. As the capability of artificial intelligence increases we expect the demands for both power and endurance to increase even more. Current non-nuclear power supplies for underwater systems have limited applicability because they have low specific power and energy density, are unsafe, or are very expensive to purchase and operate. Thus, new non-nuclear systems with greater capabilities are needed in order to fully exploit the potential of unmanned systems. A long endurance underwater power system has been under investigation at Boeing since 1985. The objective of this program is to develop a power system capable of providing at least 1000 kilowatt hours of energy, and capable of operating continuously for more than 10 days. A number of systems are capable of meeting these requirements. The performance of power sources using artificial gills, cryogenic oxygen storage, chemical energy storage, and advanced batteries are compared. The relative merits of each system are discussed for different mission requirements.
Starting Page	153
Ending Page	167
File Size	772793
Page Count	15
File Format	PDF
DOI	10.1109/UUST.1989.754713
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1989-06-12
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power systems Power system modeling Artificial intelligence Batteries Industrial power systems Power system reliability Energy storage Power system analysis computing Aerospace electronics Power system economics
Content Type	Text
Resource Type	Article

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