Sage Journals: Discover world-class research

Abstract

The advantages of a rule-based fuzzy controller with its well-established benefits of system representation in intuitive terms, ease of development and modification, ease of inputs selection, output interpolation and robustness are investigated with special reference to an aircraft gas turbine engine. This approach has a distinct advantage in the engine development phase, during which a precise model of the complex plant is unlikely to be available. The desirability of a deadbeat response for certain variables with constraints on some of these is highlighted. The design of a rule-based fuzzy controller for a twin-spool aircraft gas turbine engine with excellent response characteristics is outlined in this paper. Simulation results with a thermodynamic model of the engine using the fuzzy controller are presented. Responses obtained at representative points of a flight envelope and results from a comparison study with a proportional integral derivative (PID) controller are also presented.

Keywords

aircraft gas turbine engine control fuzzy logic controller deadbeat controller

Get full access to this article

View all access options for this article.

References

Watson

E. A.

Fuel control and burning in aero gas turbine engine. James Clayton Lecture, IMechE, London, 1955, pp. 25–56.

Lawrence

O. N.

Fuel systems for gas turbine engines. J. R. Aeronaut. Soc., November 1955, 727–737.

Thompson

H. A.

Parallel processing for jet engine control. In Advances in industrial control, 1992, Springer-Verlag, Berlin).

Sobey

A. J.

Suggs

A. M.

Control of aircraft and missile power plants, 1963, John Wiley, London).

Cohen

Rogers

G. F. C.

Saravanamuttoo

H. I. H.

Gas turbine theory, 1971, Longman Group, London).

Zucrow

M. J.

Principles of jet propulsion and gas turbines, 1948, John Wiley, London).

Tyler

S. R.

Ruggles

Welbourn

D. B.

Theoretical and practical techniques applied to the design of a gas turbine engine governor. Proceedings of First International Congress of the International Federation of Automatic Control, Moscow, 1960, pp. 356–362.

Seraji

Tarokh

Design of multivariable PID controllers with application to a gas turbine. Fourth IFAC Proceedings, 1977, pp. 137–141.

Polley

J. A.

Adibhatla

Hoffmann

P. J.

Multivariable turbofan engine control for full flight envelope operation. J. Engng for Gas Turbines and Power, January 1989, III, 130–137.

10.

Brubaker

Fuzzy logic: an enabling technology. EDN, 11 May 1995, pp. 215–216.

11.

Shashishekar

Srinivasa

Y. G.

A fuzzy logic approach to deadbeat control. Proc. Instn Mech. Engrs, Part I, 1994, 208(I3), 189–196.

12.

Mamdani

E. H.

Application of fuzzy algorithms for control of simple dynamic plant. Proc. IEE, 1974, 212, 1585–1586.

13.

Kickert

W. J. M.

Van Nauta Lemke

H. R.

Application of a fuzzy controller in a warm water plant. Automatica, 1976, 12, 301–308.

14.

Procyk

T. J.

Mamdani

E. H.

A linguistic self organizing process controller. Automatica, 1979, 15, 15–30.

15.

Larkin

L. I.

A fuzzy logic controller for aircraft flight control, 1985, Elsevier Science Publishers, BV, Amsterdam).

16.

Daley

Gill

K. F.

A design study of a self organizing fuzzy logic controller. Proc. Instn Mech. Engrs, Part C., 1986, 200(C1), 59–69.

17.

Sutton

A design study of a self organizing fuzzy of auto pilot for ship control. Proc. Instn Mech. Engrs, Part I, 1991, 205(I1), 35–47.

18.

C.-H.

Hua

X.-Y.

Wei

L. B.

Application of a fuzzy controller in the fuel system of a turbojet engine. J. Propulsion, 1989, 5.

19.

Balakrishnan

S. R.

Mishra

S. K.

Sundararajan

Damodaran

K. A.

Fuzzy computing for control of aero gas turbine engines. Defence Sci. J., 1994, 44(4), 295–304.

20.

Saravanamuttoo

H. I. H.

Fawke

A. J.

Simulation of gas turbine dynamics performance. ASME paper 70-GT-23, 1970.

21.

MIL-E-5007D, Military specification General specification for engines, aircraft, turbojet and turbofan, 1973, DOD, USA).

22.

Palsane

Patil

R. B.

Lakshman

B. K.

Sundararajan

Garudachar

B. K.

Ramamurthy

M. K.

Computer simulation of a twin spool jet engine and fuel control system. Presented at the Commonwealth Advisory Research Council, Field of Systems, Sixteenth Meeting of Council, Mini Symposium on Simulation, Bangalore, India, January 1990.

23.

Balakrishnan

S. R.

Hussain

N. S.

Sundararajan

Damodaran

K. A.

Twin spool aero gas turbine engine control using error datummed logic. J. Aeronaut. Soc. of India, August 1993, 54(3), 202–217.

24.

Zadeh

L. A.

Outline of a new approach to the analysis of complex systems and decision process. IEEE Trans. Systems, Man, and Cybernetics, 1974, 3, 28–44.

A Fuzzy Logic Approach in the Control of a Twin-Spool Aircraft Gas Turbine Engine under Development

Abstract

Keywords

Get full access to this article

References