Scaled-Down Airspace Physical Simulator with UAS swarms

Abstract

In this proposal, we request funding to develop a scaled-down airspace physical simulatortestbed with a large fleet of unmanned aerial systems (UAS) and several piloted vehicles via First-person view (FPV) piloting. This testbed will consist of an indoor flighttest area equipped with a motion capture system and an ultra-wideband (UWB) radiobased positioning system to provide scalable indoor positioning for large-scale UAS fleets, a large number of heterogeneous vehicles to provide high-fidelity physical simulation of real airspace that would also allow development of vehicle-agnostic algorithms, a flexible wireless communication framework to permit experiments with centralized and decentralized algorithms, control stations to manage the simulated airspace and perform mission control, and a rapid prototyping workshop to facilitate the logistics of equipment. The ultimate goal of the proposed equipment is to promote breakthroughs in control algorithms for coordination of large-scale UAS fleets and collaboration of both manned and unmanned aerial vehicles. The results can be applied in intelligent mission management of UAS swarms and robust integration of piloted vehicles and large-scale subordinate UAS fleets.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 09, 2018
Source ID
FA95501810101

Entities

People

  • Naira Hovikimyan

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Illinois Urbana–Champaign

Tags

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Distributed Systems and Data Platform Development
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers