Application of System Identification Techniques to Turbine Engine Post-Stall Test and Evaluation. Volume 2

Abstract

System identification is valuable for the estimation of gas turbine engine models because high fidelity models of jet engines are very useful for performance validation and because accurate models can aid in the understanding and prediction of jet engine phenomenon such as stall and surge. This report is an overview of techniques for system identification of gas turbine engine models. The emphasis in this report is on an overview of the set of techniques, solution of the nonlinear problem, and practical effectiveness rather than theoretical elegance. A detailed description of the operation of the SCIDNT parameter estimation code, which was developed by Systems Control Technology, Inc., is included. Although system identification is often regarded as a set of techniques for data processing, the overall technology has a broader scope which includes test planning, instrumentation specification, and choice of mathematical model structure, as well as the numerical methods of parameter estimation and the statistical techniques of interpreting results. These topics are all addressed herein.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA239182

Entities

People

  • Robert P. Anex

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computational Science
  • Data Processing
  • Debugging
  • Equations
  • Gas Turbines
  • Identification
  • Identification Systems
  • Mathematical Models
  • Models
  • Simulations
  • Specifications
  • Standards
  • Test And Evaluation
  • Turbines
  • Validation

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerodynamics.
  • Theoretical Analysis.