Fuzzy Logic Based Resource Manager for a Team of UAVs

Abstract

A fuzzy logic resource allocation algorithm that enables a collection of unmanned aerial vehicles (UAVs) to automatically cooperate to make meteorological measurements will be discussed. Once in flight no human intervention is required. Planning and real-time control algorithms determine the optimal trajectory and points each UAV will sample, while taking into account the UAVs' risk, risk tolerance, reliability, mission priority, fuel limitations, mission cost, and related uncertainties. The approach is illustrated by a discussion of the fuzzy decision tree for UAV path assignment and related simulation. Simulations also show the ability of the control algorithm to allow UAVs to effectively cooperate to increase the UAV team's likelihood of success.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA524874

Entities

People

  • J. F. Smith Iii
  • Thanh H. Nguyen

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Computer Programs
  • Control Systems
  • Flight Paths
  • Fuzzy Logic
  • Fuzzy Sets
  • Information Processing
  • Logic
  • Measurement
  • Refractive Index
  • Reliability
  • Sensor Fusion
  • Signal Processing
  • Simulations
  • Target Recognition
  • Unmanned Aerial Vehicles

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Artificial Intelligence

Technology Areas

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