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.
| Original language | English |
|---|---|
| Pages (from-to) | 135-148 |
| Number of pages | 14 |
| Journal | Control Engineering Practice |
| Volume | 9 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Feb 2001 |
Keywords
- structure selection
- gas turbines
- frequency domain
- genetic algorithms
- multisine signals
- system identification
- least-squares estimation
- time-varying systems