Global nonlinear modelling of gas turbine dynamics using NARMAX structures

Proceedings of the ASME Turbo Expo

Volumn 4, Issue , 2001, Pages

  Chiras, Neophytos ^a   Evans, Ceri ^a   Rees, David ^a  

^a UNIVERSITY OF GLAMORGAN   (United Kingdom)

Author keywords

Frequency domain techniques; Gas turbines; Linear models; NARMAX models; Nonlinear models; System identification

Indexed keywords

COMPOSITE STRUCTURES; FREQUENCY DOMAIN ANALYSIS; GAS TURBINES; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; NONLINEAR SYSTEMS; TIME DOMAIN ANALYSIS;

AIRCRAFT GAS TURBINES; FREQUENCY DOMAINS; IDENTIFICATION TECHNIQUES; NARMAX MODEL; NON-LINEAR MODEL; NON-PARAMETRIC ANALYSIS; NONLINEAR GAS TURBINES; TIME AND FREQUENCY DOMAINS;

NONLINEAR ANALYSIS;

EID: 84905734791     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/2001-GT-0019     Document Type: Conference Paper

References (20)

1. Dadd, G. J., Sutton, A. E., and Greig, A. W. M., 1996, "Multivariable control of military engines," AGARD Conference Proceedings No. 572-Advanced Aero-Engine Concepts and Controls, paper 28, pp. 1-12.
2. Evans, C., D. Rees and L. Jones, 1995, "Identifying linear models of systems suffering nonlinear distortions, with a gas turbine application", IEE Proc. Control Theory and Applications, vol.142, no.3, pp.229-240.
3. Evans, C., Rees, D., and Hill, D., 1998, "Frequency-domain identification of gas turbine dynamics," IEEE Transactions on Control Systems Technology, 6, 5, pp. 651-662.
4. Evans, C., Borrell, A., and Rees, D., 1999, "Testing and modelling gas turbines using multisine signals and frequencydomain techniques," ASME Journal of Engineering for Gas Turbine and Power, 121, pp. 451-457.
5. Evans, C., Rees, D., and Borrell, A., 2000, "Identification of aircraft gas turbine dynamics using frequency-domain techniques," Control Engineering Practice, 8, 4, pp. 457-467.
6. Rodriquez, K., and Fleming, P.J., 1998, "Multiobjective genetic programming for gas turbine engine model identification," UKACC International Conference on Control, Vol. 2, no. 455, pp. 1385-1390.
7. Rodriquez, K., 1999, "Multiobjective evolutionary algorithms in non-linear system identification", Ph.D. Thesis, University of Sheffield, Department of Automatic Control & Systems Engineering, UK.
8. Schoukens, J., Pintelon, R., and Van Hamme, H., 1994, "Identification of linear dynamic systems using piecewise constant excitations: use, misuse and alternatives," Automatica, 30, 7, pp. 1153-1169.
9. Guillaume, P., 1992, "Identification of multi-input multi-output systems using frequency-domain methods," Ph.D. Thesis, Vrije Universiteit Brussel, Department ELEC, Belgium.
10. Pintelon, R., Guillaume, P., Rolain, Y., and Verbeyst, F., 1992, "Identification of linear systems captured in feedback loop," IEEE Trans. Instrumentation and Measurement, 41, 6, pp. 747-754.
11. Kollár, I., 1997, Frequency Domain System Identification Toolbox for use with Matlab, The Mathworks Inc., Natick, Massachusetts.
12. Haber, R., 1985, "Non-linearity tests for dynamic processes," in Proc. 7th IFAC Symp. Identification and System Parameter Estimation, York, pp. 409-414.
13. Evans, C., Chiras N., Guillaume P. and Rees D., 2001. "Multivariable modelling of gas turbine dynamics", to be presented at ASME Turbo 2001.
14. Evans, C., and Rees, D., 1999, "Assessing the errors in practical gas turbine modelling," ASME Turbo Expo, Indianapolis, Paper 99-GT-138.
15. Leontaritis, I. J., and Billings, S.A., 1985, "Input-output parametric models for nonlinear systems," Int. J. Control, 41, 2, pp. 311-341.
16. Billings, S. A, Tsang, K. M, 1989, "Spectral analysis of nonlinear systems Part 1. Parametric non-linear spectral analysis," J. Mechanical Systems and Signal Processing, 3, 4, pp. 319-339.
17. Schoukens J. and Dobrowiecki T., 1998. "Design of broadband excitation signals with a user imposed power spectrum and amplitude distribution", IEEE Instrumentation and Measurement Technology Conference, pp. 1002-1005.
18. Mendes E.M.A.M and Billings S.A., 1996. "An important issue of system identification using algorithms for structure selection", Proceedings of the Twelfth International Conference on CAD/CAM Robotics and Factories of the Future, Middlesex Univ. Press, pp. 544-549.
19. Billings, S. A and Zhu Q. M., 1994, "Nonlinear model validation using correlation tests", Int. J. Control, 60, 6, pp. 1107-1120.
20. Chiras, N., Evans, C. and Rees, D., 2000, "Nonlinear gas turbine computer modelling using NARMAX structures," Proceedings IEEE Instrumentation and Measurement Technology Conference, Baltimore, Vol. 3, pp. 1278-1284.