An Adaptable Nonlinear Control for Quadcopters in Heavy Winds

Abstract

The safe and effective use of quadcopters within urban areas with environmental factors is of tremendous importance to the US military and civilian sectors. This technical report explores a highly adaptable simulation setup, with a nonlinear controller containing learning elements. Other model factors such as the drone geometry, weighting, and wind forces are easily modifiable within the presented framework. The simulation, performed with Unreal Engine, can incorporate real-world city data, realistic winds, and existing open-source software.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2022
Accession Number
AD1179167

Entities

People

  • Brent Kraczek
  • Carl Lederman

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Boundary Layer
  • Cognitive Systems Engineering
  • Computational Science
  • Computer Graphics
  • Control Systems
  • Differential Equations
  • Equations
  • Geometry
  • Global Navigation Satellite Systems
  • Global Positioning Systems
  • Information Science
  • Navigation
  • Partial Differential Equations
  • Three Dimensional
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Virtual Reality

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Economics
  • Software Engineering.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control