Implementing Cooperative Behavior & Control Using Open Source Technology Across Heterogeneous Vehicles

Abstract

This thesis describes the research effort into implementing cooperative behavior and control across heterogeneous vehicles using low cost off-the-shelf technologies and open source software. Current cooperative behavior and control methods are explored and improved upon to build analysis models. These analysis models characterize ideal factor settings for implementation and establish limits of performance for these low cost approaches to cooperative behavior and control. The research focused on latency and position accuracy as the two measures of performance. Three different ground control station (GCS) software applications and two types of vehicles, rover ground vehicles and aerial multi-rotors, were used in this research. Using optimum factor settings from Design of Experiments (DOE), the multi-rotor following rover vehicle configuration experienced almost twice the latency of other experiments but also the lowest positional error of 0.8 m. Results show that the achieved update frequency of 0.5 Hz or slower would be far too slow for close-formation flight.

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Document Details

Document Type
Technical Report
Publication Date
Mar 26, 2015
Accession Number
ADA616324

Entities

People

  • Stefan L. Hardy

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Application Software
  • Collision Avoidance
  • Computer Programming
  • Computers
  • Control Surfaces
  • Control Systems
  • Global Positioning Systems
  • Ground Control Stations
  • Information Processing
  • Measurement
  • Network Protocols
  • Unmanned Aerial Systems
  • Unmanned Systems
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Systems Analysis and Design