Tracking and Control of a Neutral Particle Beam Using Multiple Model Adaptive Meer Filter.

Abstract

The purpose is to point the centroid of a Neutral Particle Beam (NPB) at an intended target. A Multiple Model Adaptive Estimator using elemental Meer Filters is used to estimate the centroid of a NPB model as a one-dimensional first-order Gauss-Markov position process. The MMAE Meer Filter is also used to estimate the beam time constant. 'Merge Method' of filter pruning is used to limit the size of the elemental Meer filters. A bank of three Kalman filters are used to estimate the states of the target which has a variable dynamics driving noise strength. The target is modelled as a third-order Gauss-Markov position process. A Multiple Model Adaptive Controller is designed using LQG methods, and true states are replaced by their best estimates by invoking the principle of assumed certainty equivalence. MMAE Meer Filter performance analysis is performed for an uncontrolled beam and for a controlled beam. Controller baselines are established.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA194622

Entities

People

  • Louis J. Harambasic Jr

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Closed Loop Systems
  • Computational Science
  • Data Science
  • Detection
  • Differential Equations
  • Estimators
  • Information Science
  • Kalman Filters
  • Markov Processes
  • Mathematical Filters
  • Monte Carlo Method
  • Neutral Particle Beams
  • Particle Beams
  • Probability
  • Probability Density Functions
  • Statistical Algorithms
  • Stochastic Processes

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Inertial Navigation Systems.
  • Plasma Physics.

Technology Areas

  • Directed Energy