Failure processes of gas-turbine engine blades and approaches to setting up equations of the state of materials operating in thermal cycling in aggressive gas flows

1980 ◽  
Vol 12 (5) ◽  
pp. 535-542
Author(s):  
G. S. Pisarenko ◽  
G. N. Tret'yachenko ◽  
L. V. Kravchuk ◽  
R. I. Kuriat ◽  
V. G. Barilo
1992 ◽  
Vol 114 (4) ◽  
pp. 763-767 ◽  
Author(s):  
J. W. Watts ◽  
T. E. Dwan ◽  
C. G. Brockus

An analog fuel control for a gas turbine engine was compared with several state-space derived fuel controls. A single-spool, simple cycle gas turbine engine was modeled using ACSL (high level simulation language based on FORTRAN). The model included an analog fuel control representative of existing commercial fuel controls. The ACSL model was stripped of nonessential states to produce an eight-state linear state-space model of the engine. The A, B, and C matrices, derived from rated operating conditions, were used to obtain feedback control gains by the following methods: (1) state feedback; (2) LQR theory; (3) Bellman method; and (4) polygonal search. An off-load transient followed by an on-load transient was run for each of these fuel controls. The transient curves obtained were used to compare the state-space fuel controls with the analog fuel control. The state-space fuel controls did better than the analog control.


Author(s):  
B. M. Antkowiak ◽  
F. C. Nelson

This paper summarizes the development of a finite element rotordynamic solution used in a closed loop simulation for a magnetic bearing rotor system in a gas turbine engine. A magnetic bearing controlled rotor is analyzed, and the state dynamics matrix [A], the shaft control influence matrix [B], and the sensor matrix [C] are constructed. Bode plots of the state-space transfer function are also constructed and compared to the results of the rotor dynamic model.


Author(s):  
J. W. Watts ◽  
T. E. Dwan ◽  
C. G. Brockus

An analog fuel control for a gas turbine engine was compared with several state space derived fuel controls. A single spool, simple cycle gas turbine engine was modeled using ACSL (high level simulation language based on FORTRAN). The model included an analog fuel control representative of existing commercial fuel controls. The ACSL model was stripped of non-essential states to produce an 8 state linear state space model of the engine. The A, B, and C matrices, derived from rated operating conditions, were used to obtain feedback control gains by the following methods: (1) state feedback; (2) LQR theory; (3) Bellman method; and (4) polygonal search. An off-load transient followed by an on-load transient was run for each of these fuel controls. The transient curves obtained were used to compare the state space fuel controls with the analog fuel control. The state space fuel controls did better than the analog control.


1998 ◽  
Vol 120 (3) ◽  
pp. 621-625 ◽  
Author(s):  
B. M. Antkowiak ◽  
F. C. Nelson

This paper summarizes the development of a finite element rotordynamic solution used in a closed loop simulation for a magnetic bearing rotor system in a gas, turbine engine. A magnetic bearing controlled rotor is analyzed, and the state dynamics matrix [A], the shaft control influence matrix [B], and the sensor matrix [C] are constructed. Bode plots of the state-space transfer function are also constructed and compared to the results of the rotor dynamic model.


2021 ◽  
Vol 2021 (4) ◽  
pp. 75-86
Author(s):  
Nikolay V. GRACHEV ◽  

Objective: To generate a mathematical model of a gas turbine engine state observer for a GT1h series gas turbine locomotive. Methods: Calculations and modeling of processes were performed using software packages for mathematical modeling of complex electromechanical systems with implementation in Matlab, while data processing and graph plotting were performed using Microsoft Excel. Results: It has been shown that the use of the mathematical model of the state observer in the automatic control system allows providing conditions for the formation of an optimal power load trajectory of the Gas Turbine Engine — Traction Generator system when regulating the power, taking into account the limitations associated with the physical processes occurring in the gas turbine engine. Practical importance: The use of the mathematical model of the state observer makes it possible to generate rational gas turbine load trajectories in the entire range of its use.


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