Application of System Identification Techniques to Aircraft Gas Turbine Engines

Research output: Contribution to journalArticle

Authors

  • C Evans
  • PJ Fleming
  • DC Hill
  • I Pratt
  • D Rees
  • K Rodriguez-Vazquez

Colleges, School and Institutes

Abstract

A variety of system identification techniques are applied to the modelling of aircraft gas turbine dynamics. The motivation behind the study is to improve the efficiency and cost-effectiveness of system identification techniques currently used in the industry. Three system identification approaches are outlined in this paper. They are based upon: multisine testing and frequency-domain identification, time-varying models estimated using extended least squares with optimal smoothing, and multiobjective genetic programming to select model structure. (C) 2001 Elsevier Science Ltd. All rights reserved.

Details

Original languageEnglish
Pages (from-to)135-148
Number of pages14
JournalControl Engineering Practice
Volume9
Issue number2
Publication statusPublished - 1 Feb 2001

Keywords

  • structure selection, gas turbines, frequency domain, genetic algorithms, multisine signals, system identification, least-squares estimation, time-varying systems