Swarming Unmanned Aircraft Systems

Abstract

Unmanned Aerial Systems (UAS) are entrenched as an integral part of strategic and tactical operations throughout the Department of Defense and other government agencies. In this time of emerging doctrine and rapid advances in technology, the breadth of mission profiles continues to expand. One way to increase efficiency of unmanned systems is to reduce the workload of its operators during missions. Like the swarms of some insects, semi autonomous UAVs can collaborate using simple rule sets. These rule sets, when dynamically joined with mission specific tasks, provide the foundation for a self-organizing set of UAVs that all soldiers, not just 15Ws, can use. Mission tasks can be driven directly by the unit or personnel requiring UAS support for a particular mission. This limits "losses in translation" and provides a shorter implementation time more directly empowering those that are supported. A system design to achieve this functionality is presented. It addresses the UAS architecture and rule set issues. Recommended rule sets are validated through simulation and analysis.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2008
Accession Number
ADA489366

Entities

People

  • Edward Teague
  • Robert H. Kewley Jr.

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Afghanistan Conflict
  • Aircrafts
  • Cognitive Systems Engineering
  • Control Systems
  • Department Of Defense
  • Ground Control Stations
  • Information Systems
  • Operations Research
  • Simulations
  • Situational Awareness
  • Systems Engineering
  • United States
  • United States Military Academy
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Warfare

Fields of Study

  • Computer science

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Linguistics
  • Strategic Security Studies

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs