Advanced controller design for aircraft gas turbine engines

Control Engineering Practice

Volumn 13, Issue 8, 2005, Pages 1001-1015

  Mu, Junxia ^a   Rees, David ^a   Liu, G P ^a  

^a UNIVERSITY OF GLAMORGAN   (United Kingdom)

Author keywords

Approximate and nonlinear model predictive control; Gain scheduling PID controller; Gas turbine engine; NARMAX; Neural network identification

Indexed keywords

CONTROL EQUIPMENT; CONTROL SYSTEM ANALYSIS; FUEL SYSTEMS; GAS TURBINES; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; PROBLEM SOLVING;

APPROXIMATE MODEL PREDICTIVE CONTROL (APMC); NONLINEAR MODEL PREDICTIVE CONTROL (NMPC); PROPORTIONAL, INTEGRAL AND DERIVATIVE (PID) CONTROLLER;

TURBOJET ENGINES;

DESIGN;

EID: 14944360485     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2004.11.001     Document Type: Article

References (25)

1. S.A. Billings S. Chen M.J. Korenberg Identification of MIMO nonlinear systems using a forward-regression orthogonal estimator International Journal of Control 49 6 1989 2157-2189
2. Brunell, B. J., Bitmead, R. R., & Connolly, A. J. (2002). Nonlinear model predictive control of an aircraft gas turbine engine. Proceedings of the 41st IEEE conference on decision and control, vol. 4 (pp. 4649-4651).
3. N. Chiras C. Evans D. Rees Global nonlinear modelling of gas turbine dynamics using NARMAX structures ASME Journal of Engineering and Power 124 4 2002 817-826
4. Chiras, N., Evans, C., & Rees, D. (2002b). Nonlinear gas turbine modelling using feedforward neural networks. ASME Turbo Expo congress, Amsterdam, Netherlands, GT-2002-30035.
5. D.W. Clarke C. Mothadi P.S. Tuffs Generalised predictive control-Part I. The basic algorithm Automatica 23 2 1987 137-148
6. D.W. Clarke C. Mothadi P.S. Tuffs Generalised predictive control-Part II. Extensions and interpretations Automatica 23 2 1987 149-160
7. G. Cybenco Approximation by superpositions of a sigmoidal function Mathematics of Control, Signals and System 2 4 1989 303-314
8. Dadd, G. J., Sutton, A. E., Greig, A. W. M. (1996). Multivariable control of military engines. AGARD conference proceedings No. 572-advanced aero-engine concepts and controls, vol. 28 (pp. 1-12).
9. C. Evans A. Borrell D. Rees Testing and modelling gas turbines using multisine signals and frequency-domain techniques ASME Journal of Engineering for Gas Turbine and Power 121 1999 451-457
10. C. Evans D. Rees A. Borrell Identification of aircraft gas turbine dynamics using frequency-domain techniques Control Engineering Practice 8 4 2000 457-467
11. P.E. Gill W. Murray M.A. Sanders M.H. Wright Procedures for optimisation problems with a mixture of bounds and general linear constraints ACM Transactions on Mathematical Software 10 1984 282-298
12. P.E. Gill W. Murray M.H. Wright Numerical linear algebra and optimisation 1991 Addison-Wesley Reading, MA
13. J.B. Gomm J.T. Evans D. Williams Development and performance of a neural-network based predictive controller Control Engineering Practice 5 1 1997 49-59
14. A. Grace Optimisation toolbox for use with MATLAB 2000 The Mathworks Inc
15. Jackson, D. (1988). Investigation of state space architectures for engine models. Rolls Royce plc, Report TDR 9331.
16. Mu, J., Rees, D., & Chiras, N. (2003). Optimum gain-scheduling PID controllers for gas turbine engines based on NARMAX and neural network models. ASME Turbo Expo congress, Atlanta, GA, USA, GT-2003-38667.
17. M. Nørgaard O. Ravn N.K. Poulsen L.K. Hansen Neural network for modelling and control of dynamic system 2nd ed. 2001 Springer London, UK
18. P. Potočnik I. Grabec Nonlinear model predictive control of a cutting process Neurocomputing 43 2002 107-126
19. K. Schittowski NLQPL: A FORTRAN-subroutine solving constrained nonlinear programming problems Annals of Operations Research 5 1985 485-500
20. D.E. Seborg T.F. Edgar D.A. Mellichamp Process dynamics and control 1989 Wiley New York
21. R. Soeterboek Predictive control-a unified approach 1992 Prentice-Hall New York, NY
22. K.O. Temeng P.D. Schnelle T.J. MccAvoy Model predictive control of an industrial packed bed reactor using neural networks Journal of Process Control 5 1 1995 19-27
23. H.A. Van Essen H.C. De Lange Nonlinear model predictive control experiments on a laboratory gas turbine installation Journal of Engineering for Gas Turbines and Power 123 2 2001 347-352
24. A. Voda I.D. Landau A method for the auto-calibration of PID controller Automatica 31 1 1995 41-53
25. J.G. Ziegler N.B. Nichols Optimum settings for automatic controllers Transactions of ASME 64 1942 759-768