AMRL Remotely Piloted Vehicle (RPV) System Simulation Study III Results.

Abstract

The ARML RPV System Simulation and Research Program was initiated in response to requirements for support of the design of the man-machine/environment interface of AF RPV systems. The major objectives of the AMRL RPV System Simulation and Research Program are as follows: (1) Perform RPV system design evaluation studies, i.e. evaluate alternative design configurations, assumptions, operating procedures, etc.; (2) Assess RPV system effectiveness, i.e. evaluate the expected effectiveness of a given system configuration such as its overall probability of achieving a target, etc.; (3) Provide man-machine/environment interface engineering data, i.e. recommend displays, etc.; (4) Test bed new technology, e.g. evaluate effectiveness of contractor designed consoles, video bandwidth compression techniques, etc. The results of the third simulation study are reported herein. This study included automatic RPV heading correction and position report smoothing functions in the simulation. The study employed scenarios requiring a limited number of support mission RPVs, via reprogramming, to provide coverage for a set of Strike RPVs (or manned vehicles). The study evaluates RPV system performance under the simultaneous effects of RPV Position Reporting Range and Azimuth Errors, RPV Automatic Heading Correction Cross Track Threshold, Total Number of RPVs Under System Control, and Ratio of Strike Set to Type of Support Vehicle Set. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA020064

Entities

People

  • Nilss M. Aume
  • Robert F. Bachert
  • Robert G. Mills

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Automatic
  • Bandwidth
  • Compression
  • Contractors
  • Engineering
  • Environment
  • Probability
  • Remotely Piloted Vehicles
  • Simulations
  • Simulators
  • Test And Evaluation
  • Test Beds
  • Vehicles

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.
  • Software Engineering