Unmanned Aircraft Systems as Wingmen

Abstract

This paper introduces a method to integrate Unmanned Aircraft Systems (UASs) into a highly functional manned/unmanned team through the design and implementation of 3D distributed formation/flight control algorithms with the goal to act as wingmen for a manned aircraft. The proposed algorithms are designed to increase UAS autonomy dynamically modify formations, utilize standard operating formations to reduce pilot resistance to integration, and support splinter groups for surveillance and/or as safeguards between potential threats and manned vehicles. The proposed work coordinates UAS members by utilizing artificial potential functions whose values are based on the state of the unmanned and manned assets including the desired formation, obstacles, task assignments, and perceived intentions. The overall unmanned team geometry is controlled using weighted potential fields. Individual UASs utilize fuzzy logic controllers for stability and navigation as well as a fuzzy reasoning engine for predicting the intent of surrounding aircrafts. Approaches are demonstrated in simulation using the commercial simulator X-Plane and controllers designed in Matlab/Simulink. Experiments include staggered trail and right echelon formations as well as splinter group surveillance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA537724

Entities

People

  • Laura Barnes
  • Maryanne Fields
  • Richard D. Garcia

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Collision Avoidance
  • Control Systems
  • Flight Paths
  • Fuzzy Logic
  • Hot Spots
  • Inference Engines
  • Mathematical Models
  • Models
  • Navigation
  • Remotely Piloted Vehicles
  • Simulations
  • Simulators
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Joint Military Operations and Doctrine.
  • Neural Network Machine Learning.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control