Swarming Unmanned Aerial Vehicles: Concept Development and Explementation, A State of the Art Review on Flight and Mission Control

Abstract

This technical report provides an overview of the state of the art of control system design for swarming UAVs. An overview of trends and future needs for military applications of UAVs is presented first. Linear controller design for aircrafts is then reviewed in the context of UAV systems. Comparative analysis of flight, collision avoidance and mission control approaches for swarming UAVs is provided. Then, advanced nonlinear UAV control designs including several feedback linearization techniques, Neural Network implementation, Fuzzy Logic application incorporated with Linear and Nonlinear Model Predictive Control for swarming UAVs are analysed. Finally, the importance of Hardware in the Loop Simulation is discussed. Simulation and experimental validation results will be presented in subsequent reports.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2003
Accession Number
ADA633860

Entities

People

  • Bumsoo Kim
  • Dan Necsulescu
  • Paul Hubbard

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Navigation
  • Collision Avoidance
  • Computer Programming
  • Control Surfaces
  • Control Systems
  • Ground Control Stations
  • Guidance
  • Model Predictive Control
  • Motion Planning
  • National Security
  • Navigation
  • Neural Networks
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Remotely Piloted Vehicles
  • Unmanned Aerial Vehicles

Readers

  • Aerospace Engineering
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control