Identification of multivariable high performance turbofan engine dynamics from closed loop data
Abstract
The multivariable instrumental variable/approximate maximum likelihood (IV/AML) method or recursive time-series analysis is used to identify the multivariable (four inputs-three outputs) dynamics of the Pratt and Whitney F100 engine. A detailed nonlinear engine simulation is used to determine linear engine model structures and parameters at an operating point using open loop data. Also, the IV/AML method is used in a direct identification mode to identify models from actual closed loop engine test data. Models identified from simulated and test data are compared to determine a final model structure and parameterization that can predict engine response for a wide class of inputs. The ability of the IV/AML algorithm to identify useful dynamic models from engine test data is assessed.
- Publication:
-
NASA STI/Recon Technical Report N
- Pub Date:
- 1982
- Bibcode:
- 1982STIN...8220339M
- Keywords:
-
- Feedback Control;
- Mathematical Models;
- Multivariate Statistical Analysis;
- Parameter Identification;
- Time Series Analysis;
- Turbofan Engines;
- Algorithms;
- Dynamic Response;
- Engine Control;
- Engine Design;
- Engine Noise;
- Engine Tests;
- Maximum Likelihood Estimates;
- Nonlinear Filters;
- Simulation;
- Engineering (General)