Development of a Novel, Two-Processor Architecture for a Small UAV Autopilot System,

Abstract

The potential uses for small UAVs are quite varied and include such applications as targeting and even small weapons delivery to sensing, surveying, and search and rescue. This class of UAVs typically have a gross weight of less than 100 lbs and their limited payload capacity, interior volume, and power supply, place significant constraints on on-board systems, including the autopilot system used to control them. On the other hand, the capabilities of the aircraft themselves continue to grow which imposes larger computational requirements on the flight control system portion of the autopilot - that portion of the autopilot system that actually controls the vehicle's dynamic behavior. This project developed a new autopilot architecture that utilizes a state-of-the-art processor to perform the flight control function for small UAVs. This system provides a light-weight, low-cost autopilot system that is flexible and powerful enough to be used for a wide variety of UAV platforms and because of its open architecture and basis on COTS processors, is easily upgradeable to track the state-of-the-art in commercial processor design.

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Document Details

Document Type
Technical Report
Publication Date
Jul 26, 2006
Accession Number
ADA455450

Entities

People

  • Robert Klenke

Organizations

  • Virginia Commonwealth University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Application Software
  • Cameras
  • Communication Channels
  • Computer Programming
  • Computers
  • Control Systems
  • Data Storage Systems
  • Field Programmable Gate Arrays
  • Flight Control Systems
  • Global Positioning Systems
  • Ground Control Stations
  • Inertial Measurement Units
  • Measurement
  • Operating Systems
  • Photographs
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Inertial Navigation Systems.
  • Parallel and Distributed Computing.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.