Reduced-Order Observer Model for Antiaircraft Artillery (AAA) Tracker Response

Abstract

A systematic study of threat effectiveness for antiaircraft artillery (AAA) systems requires the development of a mathematical model for the gunner's tracking response. A simple gunner model structure will shorten computer simulation execution time. Obviously, accurate predictions of tracking error implies model fidelity with respect to describing the gunner's tracking performance. This technical report will describe the development of an anti- aircraft gunner model based on the Luenberger reduced-order observer theory. A parameter identification program based on the least squares curve-fitting method and the Gauss-Newton gradient algorithm is developed to systematically determine the model parameters. This program iteratively adjusts the parameter values to minimize the error between the model prediction of tracking error and actual human tracking data obtained from manned AAA simulation experiments. A comparison between this model and the optimal control model is also given. This model is shown to be as accurate as the optimal control model in predicting tracking errors. In addition, the computer execution time of the AAA closed loop system simulation utilizing this model is less than 15 percent of that using the optimal control model. Therefore, this gunner model can be used accurately and efficiently in the study of the AAA effectiveness and aircraft survivability.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1979
Accession Number
ADA080932

Entities

People

  • Betty C. Glass
  • Maris M. Vikmanis
  • Robert S. Kou

Tags

Communities of Interest

  • Biomedical
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Biomedical Research
  • Closed Loop Systems
  • Computational Science
  • Computations
  • Computer Simulations
  • Computers
  • Curve Fitting
  • Frequency
  • Frequency Domain
  • Mathematical Models
  • Reliability
  • Simulations
  • Target Angle
  • Time Domain

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • ballistics.