Enhanced Cost Minimization Algorithm for Control Architectures

Abstract

This research emphasized control for missions with multiple unmanned vehicles (UVs). Extensions to an existing unified control architecture were developed. Line-of-sight (LOS) obstructions and total communication power limitations, such as battery capacity for communicating in multiple rover scenarios, were combined into one problem. The operational mission is summarized as follows: The operator initiates control transmissions between base and the UVs, while a small aerial vehicle provides a relay supporting flexible communications. During this mission, the system strives to maintain LOS communication with as many friendly UVs as possible. Automated enhanced placement software was designed to keep UVs visible to the relay. Manually determined relay placement might reduce performance and threaten safety; therefore, autonomous placement is under development. While there was documentation regarding midpoint placement

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2017
Accession Number
AD1055239

Entities

People

  • Laura L. Lucas

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Communication Systems
  • Control Systems
  • Data Links
  • Ground Control Stations
  • Line Of Sight
  • Mesh Networks
  • Network Protocols
  • Systems Engineering
  • Test And Evaluation
  • Test Facilities
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Ground Systems
  • Unmanned Systems
  • Unmanned Vehicles

Readers

  • Database Systems and Applications
  • Joint Military Operations and Doctrine.
  • Tactical Satellite Communications Systems Engineering.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs