Energy Capture Module (ECM) for Use in Unmanned Mobile Vehicles (UMVs) With a Specific Study of the Draganflyer X6 UAV

Abstract

Unmanned drones, robots, and vehicles are often chosen to perform tasks in harsh and dangerous environments. Autonomous vehicles are ideal in tactical situations when these vehicles can perform functions for warfighters when the risk to human life is significantly too high. In particular, unmanned aerial vehicles (UAVs) have become a common staple of military operations. Common sizes range from slingshot-launched spy bots to global guardians. Small UAV of all types have limited mission endurance due to volume and weight constraints of their energy storage and power sources. In many cases, UAVs are limited in the extent to which they could provide tactical advantage because of their need to be recharged or refueled. Even with the use of highly efficient energy and power sources, it is extremely difficult to design a feasible energy system that will provide power for prolonged duration missions. A method, energy capture, exists to provide recharging of an energy source remotely. By utilizing electromagnetic waves, energy can be transmitted wirelessly over great distances. This method has been implemented in several forms today, and shows promise as a possible way to provide for much greater UAV mission endurance. An Energy Control Module (ECM) is proposed as a scalable and Modular Open System (MOS) design concept that can utilize either a tuned laser photovoltaic cell or a microwave receiver to convert received electromagnetic energy to maintain the onboard UAV platform battery charged. The ECM can utilize ground or shipboard based power supply to wirelessly transmit power to a UAV. This thesis presents a study of the characteristics needed for an ECM that allows a small UAV platform to remain on station and perform its designed functions while recharging its energy source for prolonged duration missions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2010
Accession Number
ADA531569

Entities

People

  • Cedric N. Dedeaux

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Cells
  • Electromagnetic Radiation
  • Energy
  • Energy Storage
  • Energy Systems
  • Frequency Bands
  • Fuel Cells
  • Military Operations
  • Power Supplies
  • Radiation
  • Renewable Energy
  • Solar Cells
  • Solar Energy
  • Systems Engineering
  • Unmanned Aerial Vehicles
  • Unmanned Vehicles

Fields of Study

  • Engineering

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Electrical Engineering
  • Radio communications and signal processing.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs
  • Directed Energy