Fuzzification of ASAT's Rule Based Aimpoint Selection

Abstract

The aimpoint algorithms being developed at Dr. Weight and Associates are based on the concept of fuzzy logic. This approach does not require a particular type of sensor data or algorithm type, but allows the user to develop a fuzzy logic algorithm based on existing aimpoint algorithms and models. This provides an opportunity for the user to upgrade an existing system design to achieve higher performance at minimal cost. Many projects have aimpoint algorithms which are based on 'crisp' logic rule based algorithms. These algorithms are sensitive to glint, comer reflectors, or intermittent thruster firings, and to uncertainties in the a priori estimates of angle of attack. If these projects are continued through to a demonstration involving a launch to hit a target, it is quite possible that the crisp logic approaches will need to be upgraded to handle these important error sources.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 1993
Accession Number
ADA266068

Entities

People

  • Thomas H. Weight

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computer Programming
  • Computers
  • Control Systems
  • Databases
  • Engineering
  • Fuzzy Logic
  • Insensitive Explosives
  • Models
  • Neural Networks
  • Robotics
  • Rule Based Systems
  • Sensor Fusion
  • Signal Processing
  • Solar Panels
  • Training
  • Trajectories
  • Word Processors

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  • Computer Engineering
  • Missile Defense Systems.
  • Operations Research

Technology Areas

  • Space
  • Space - Space Objects
  • Space - Spacecraft Maneuvers