Approximate model predictive control for gas turbine engines

Proceedings of the American Control Conference

Volumn 6, Issue , 2004, Pages 5704-5709

  Mu, Junxia ^a   Rees, David ^a  

^a UNIVERSITY OF GLAMORGAN   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE MODEL PREDICTIVE CONTROL (AMPC); GAS TURBINE ENGINES; GENERALIZED PREDICTIVE CONTROL (GPC); NONLINEAR MODEL PREDICTIVE CONTROL (NMPC);

APPROXIMATION THEORY; CONTROL EQUIPMENT; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR SYSTEMS; PREDICTIVE CONTROL SYSTEMS; SCHEDULING; THREE TERM CONTROL SYSTEMS;

GAS TURBINES;

EID: 8744220446     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2004.249056     Document Type: Conference Paper

References (11)

1. A. Rusnák, M. Fikar, K. Najim and A. Mészáros, "Generalized predictive control based neural networks", Neural Process Letters, vol.4, 1996, pp. 1107-112.
2. C. Evans, D. Rees and A. Borrell, "Identification of aircraft gas turbine dynamics using frequency-domain techniques," Control Engineering Practice, vol. 8, no. 4, 2000, pp. 457-467.
3. N. Chiras, C. Evans and D. Rees, "Global nonlinear modeling of gas turbine dynamics using NARMAX structures," ASME Journal of Engineering and Power, vol. 124, no. 4, 2002, pp. 817-826.
4. N. Chiras, C Evans and D. Rees, "Nonlinear gas turbine modeling using feedforward neural networks," ASME Turbo Expo congress, Amsterdam, Netherlands, 2002, GT-2002-30035.
5. D. W. Clarke, C. Mothadi and P. S. Tuffs, "Generalized predictive control - Part I. The basic algorithm", Automatica, vol. 23, no. 2, 1987a, pp. 137-148.
6. D. W. Clarke, C. Mothadi and P. S. Tuffs, "Generalized predictive control - Part II. Extensions and interpretations", Automatica, vol. 23, no. 2, 1987b, pp. 137-148.
7. S. A. Billings, S. Chen and M. J. Korenberg, "Identification of MIMO nonlinear systems using a forward-regression orthogonal estimator," Int. J. Control, vol. 49, no. 6, 1989, pp. 2157-2189.
8. G. Cybenco, "Approximation by superpositions of a sigmoidal function," Mathematics of Control, Signals and System, vol. 2, no. 4, 1989, pp. 303-314.
9. nd edition; 2001.
10. R. Soterboek, Predictive control - a unified approach. Prentice Hall, New York, NY; 1992.
11. J. Mu, D. Rees, and N. Chiras, "Optimum gain-scheduling PID controllers for gas turbine engines based on NARMAX and neural network models", ASME Turbo Expo congress, Atlanta, Georgia, USA, 2003, GT-2003-38667.