Aggressive Maneuvers

Abstract

Operation of future autonomous vehicles in high-stress mission environments, such as air combat, suppression of enemy air defenses, and urban warfare, requires high maneuverability and adaptation to uncertain dynamics and environmental conditions. Traditional control algorithms impose performance limitations that fall far short of what can be achieved by skilled human pilots. The main objective of this project was to develop and demonstrate the ability for aggressive on-line maneuver trajectory generation. The goal was to demonstrate autonomous vehicle maneuvering capability well beyond the level typical in today's autonomous air vehicles. A second objective was to integrate the aggressive flight control technology into the SEC demonstration platform. The task was structured in two experiment demonstration phases where the first phase involved demonstrating our aggressive autonomous guidance capability on Draper's aggressive flight test vehicle. The second phase integrated and demonstrated these algorithms on the SEC rotary wing demonstrator platform - Georgia Institute of Technology's Yamaha RMAX helicopter.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADB309356

Entities

People

  • Brent D. Appleby
  • Leena Singh
  • Marc Mcconley

Organizations

  • Charles Stark Draper Laboratory

Tags

Communities of Interest

  • Autonomy
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Algorithms
  • Autonomous Guidance
  • Autonomous Vehicles
  • Collision Avoidance
  • Control Systems
  • Detectors
  • Fire Control Systems
  • Ground Control Stations
  • Guidance
  • Helicopters
  • Navigation
  • Simulations
  • Trajectories
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Aviation Science / Aeronautics.
  • Robotics and Automation.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs