Real time linear simulation and control for small aircraft turbojet engine

The performance of the aircraft gas turbine engine requires optimization because it is directly related to overall aircraft performance. In this study, a modified DYNGEN, a nolinear dynamic simulation program with component maps of the small aircraft turbojet engine, was used to predict the overall engine performance. Response characteristics of various cases, such as 6%, 5% and 3% rpm step models and the real-time linear model of the interpolation scheme within the operating range were compared. Among them, the real time linear model was selected for the turbojet engine with nonlinear characteristics. Finally control schemes such as PI (Proportional-Integral Controller) and LQR (Linear Quadratic Regulator) were applied to optimize the engine performance. The overshoot of the turbine inlet temperature was effectively eliminated by LQR controller with the proper control gain K.

[1]  David L. Smith,et al.  Sequential Linearization as an Approach to Real-Time Marine Gas Turbine Simulation , 1990 .

[2]  F. S. Bhinder,et al.  Simulation of Aircraft Gas Turbine Engines , 1991 .

[3]  N. Sugiyama Derivation of system matrices from nonlinear dynamic simulation of jet engines , 1994 .

[4]  C. D. Kong,et al.  Real Time Linear Simulation and Control for the Small Aircraft Turbojet Engine , 1997 .

[5]  Bruce Hannon,et al.  Dynamic Modeling , 1994, Springer US.

[6]  B. Lehtinen,et al.  The role of modern control theory in the design of controls for aircraft turbine engines , 1982 .

[7]  T. E. Dwan,et al.  Optimal State-Space Control of a Gas Turbine Engine , 1992 .

[8]  K. Mathioudakis,et al.  Adaptive Simulation of Gas Turbine Performance , 1990 .

[9]  H. I. H. Saravanamuttoo,et al.  Experimental Investigation of Methods for Improving the Dynamic Response of a Twin-Spool Turbojet Engine , 1971 .

[10]  Wang Yong-hong A New Method of Predicting the Performance of Gas Turbine Engines , 1991 .

[11]  Ping Zhu,et al.  Simulation of an Advanced Twin-Spool Industrial Gas Turbine , 1992 .

[12]  L. C. Geyser DYGABCD: A program for calculating linear A, B, C, and D matrices from a nonlinear dynamic engine simulation , 1978 .

[13]  C. Lippke,et al.  GETRAN: A Generic, Modularly Structured Computer Code for Simulation of Dynamic Behavior of Aero- and Power Generation Gas Turbine Engines , 1994 .

[14]  C. J. Daniele,et al.  DYNGEN: A program for calculating steady-state and transient performance of turbojet and turbofan engines , 1975 .

[15]  R. Bettocchi,et al.  Dynamic Modeling of Single-Shaft Industrial Gas Turbine , 1996 .

[16]  Sanjay Garg A Simplified Scheme for Scheduling Multivariable Controllers and its Application to a Turbofan Engine , 1996 .

[17]  David L. Smith,et al.  Comparative controller design for a marine gas turbine propulsion system , 1990 .

[18]  George W. Gallops,et al.  Real-time estimation of gas turbine engine damage using a control-based Kalman filter algorithm , 1991 .

[19]  J. R. Mihaloew,et al.  Real-time Pegasus propulsion system model V/STOL-piloted simulation evaluation , 1984 .