Estimation of Aircraft Dynamic States and Instrument Systematic Errors from Flight Test Measurements Using the Carlson Square Root Formulation of the Kalman Filter.

Abstract

The development of a procedure for estimating aircraft dynamic states and instrument systematic errors from flight test measurements is described. The method has particular application in non-steady performance estimation for reconstructing aircraft flight path and in the estimation of aerodynamic characteristics using the 'equation error' parameter estimation method. The state estimator can be extended to determine systematic measurement errors in the recorded data, giving a set of data which is compatible according to the kinematic equations which relate the measurements. The effectiveness of the procedures cannot be specified in a general way, since the results depend upon the representation of the input and output noise characteristics and on the choice of initial conditions for a given problem. This note has been written to allow users to apply the state estimation procedure to practical problems. A description of the Carlson Square Root Filter and its application to the kinematic equations of aircraft motion is given. The documentation of the computer program for state estimation is also presented. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1980
Accession Number
ADA106277

Entities

People

  • C. A. Martin

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Aerodynamic Characteristics
  • Algorithms
  • Computer Programs
  • Computers
  • Equations
  • Equations Of State
  • Estimators
  • Flight
  • Flight Paths
  • Kalman Filters
  • Mathematical Filters
  • Measurement
  • Quantum Efficiency
  • Square Roots
  • Statistical Algorithms
  • Test Methods

Readers

  • Approximation Theory.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Mechanical Engineering/Mechanics of Materials.

Technology Areas

  • Space