Model-Based UAS-UGS IED Clearance Mission Engineering

Abstract

Machine-to-machine teaming is the trend of future warfare aiming at maximizing effectiveness of heterogeneous assets while performing a specific task or mission. Currently, modern militaries employ autonomous systems such as unmanned aircraft systems (UAS) and unmanned ground systems (UGS) independently with separate missions. This study explores the possibility of utilizing an autonomous swarm composed of UAS and UGS working in tandem in the improvised explosive device (IED) clearance mission in the urban environment. In this mission, the UAS serves as the "eyes" to detect IEDs within a specific area assigned by an operator, while the UGS as the "hands and legs" to respond and neutralize the IED detected by the UAS. The thesis uses Cameo Systems Modeler, an industry-leading cross platform collaborative model-based systems engineering (MBSE) environment, to model the joint UAS and UGS mission and then integrate it with a domain-specific MATLAB/Simulink environment where high-fidelity UAS and UGS models were developed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2021
Accession Number
AD1164395

Entities

People

  • Robert J. Naquila

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Counter IED
  • Cyber
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Systems
  • Collision Avoidance
  • Control Systems
  • Engineers
  • Explosive Devices
  • Explosives
  • Global Positioning Systems
  • Ground Control Stations
  • Guidance
  • Model Based Systems Engineering
  • Systems Engineering
  • Two Dimensional
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Fields of Study

  • Computer science

Readers

  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.
  • Sensor Fusion and Tracking Systems.
  • Software Engineering.

Technology Areas

  • Autonomy
  • Autonomy - UAVs