Dynamic Analysis and Design System Modeling of the Experimental Unmanned Vehicle

Abstract

The Weapons Analysis Branch, Ballistics and Weapons Concepts Division, Weapons and Materials Research Directorate of the U.S. Army Research Laboratory (ARL) built a multi-body engineering-level model of the unmanned ground vehicle platform used in the Office of the Secretary of Defense Demo III Robotics program during fiscal years 2000 and 2001. The intended role of the autonomous robotic vehicle was to be a technology demonstrator to assess the possibility of an unmanned vehicle performing the armor scout mission. The unaided vehicle would travel ahead of the troop section and provide scout reconnaissance without the need for placing a human being into a hostile environment. The vehicle platform used as the basis for the model was the experimental unmanned vehicle (XUV) developed and built by General Dynamics Robotic Systems (GDRS). The XUV is a four-wheeled, Ackerman-steered, all-wheel-drive autonomous vehicle that is approximately 10 feet long, 5 feet wide, and 4 feet high and has a curb weight of=3000 pounds. The XUV uses a four-cylinder, 78-hp diesel engine that powers a four-wheel hydraulic drive system. A computer model of the XUV was subsequently developed as a further extension of the modeling tools used for analyzing robotic vehicle off-highway mobility and chassis dynamics and to further enhance the fidelity of battlefield simulations in which these vehicles are employed. The XUV is shown in Figure 1 and the XUV with revised body structure is shown in Figure 2.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2002
Accession Number
ADA410703

Entities

People

  • Peter J. Fazio

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Angular Motion
  • Autonomous Navigation
  • Autonomous Vehicles
  • Combat Vehicles
  • Computer Simulations
  • Computer-Aided Design
  • Control Systems
  • Dynamics
  • Engineering
  • Environment
  • Frequency
  • Ground Vehicles
  • Materials
  • Platforms
  • Reliability
  • Transient Response Analysis
  • Unmanned Vehicles

Readers

  • Computational Modeling and Simulation
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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