Program complex for calculating the state of thermal volume stress of gas-turbine engine blades

1983 ◽  
Vol 15 (3) ◽  
pp. 338-344
Author(s):  
L. A. Zaslotskaya ◽  
S. �. Umanskii
Keyword(s):  
Gas Turbine ◽  
Gas Turbine Engine ◽  
The State ◽  
Program Complex ◽  
Turbine Engine ◽  
Volume Stress

Optimal State-Space Control of a Gas Turbine Engine

1992 ◽  
Vol 114 (4) ◽  
pp. 763-767 ◽  
Author(s):  
J. W. Watts ◽  
T. E. Dwan ◽  
C. G. Brockus
Keyword(s):  
State Space ◽  
Gas Turbine ◽  
State Space Model ◽  
Gas Turbine Engine ◽  
The State ◽  
Operating Conditions ◽  
Turbine Engine ◽  
Analog Control ◽  
Linear State ◽  
High Level

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.

scholarly journals Rotordynamic Modeling of an Actively Controlled Magnetic Bearing Gas Turbine Engine

1997 ◽  
Author(s):  
B. M. Antkowiak ◽  
F. C. Nelson
Keyword(s):  
Finite Element ◽  
Gas Turbine ◽  
Closed Loop ◽  
Gas Turbine Engine ◽  
Magnetic Bearing ◽  
The State ◽  
Turbine Engine ◽  
Influence Matrix ◽  
Bode Plots ◽  
Rotor Dynamic

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.

Optimal State Space Control of a Gas Turbine Engine

1991 ◽  
Author(s):  
J. W. Watts ◽  
T. E. Dwan ◽  
C. G. Brockus
Keyword(s):  
State Space ◽  
Gas Turbine ◽  
State Space Model ◽  
Gas Turbine Engine ◽  
The State ◽  
Operating Conditions ◽  
Turbine Engine ◽  
Analog Control ◽  
Linear State ◽  
High Level

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.

Rotodynamic Modeling of an Actively Controlled Magnetic Bearing Gas Turbine Engine

1998 ◽  
Vol 120 (3) ◽  
pp. 621-625 ◽  
Author(s):  
B. M. Antkowiak ◽  
F. C. Nelson
Keyword(s):  
Finite Element ◽  
Gas Turbine ◽  
Closed Loop ◽  
Gas Turbine Engine ◽  
Magnetic Bearing ◽  
The State ◽  
Turbine Engine ◽  
Influence Matrix ◽  
Bode Plots ◽  
Rotor Dynamic

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.

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
Keyword(s):  
Thermal Cycling ◽  
Gas Turbine ◽  
Gas Turbine Engine ◽  
The State ◽  
Gas Flows ◽  
Turbine Engine

scholarly journals Turbine-generator system with a load state observer

2021 ◽  
Vol 2021 (4) ◽  
pp. 75-86
Author(s):  
Nikolay V. GRACHEV ◽  
Keyword(s):  
Mathematical Model ◽  
Gas Turbine ◽  
Practical Importance ◽  
Gas Turbine Engine ◽  
State Observer ◽  
The State ◽  
Generator System ◽  
Turbine Engine ◽  
Power Load ◽  
The Mathematical Model

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.

scholarly journals Design of Nonlinear Control of Gas Turbine Engine Based on Constant Eigenvectors

Machines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 49
Author(s):  
Sagit Valeev ◽  
Natalya Kondratyeva
Keyword(s):  
Neural Network ◽  
Control System ◽  
Gas Turbine ◽  
Canonical Basis ◽  
Control Object ◽  
Gas Turbine Engine ◽  
The State ◽  
Network Dynamic ◽  
Nonlinear Controller ◽  
Turbine Engine

A gas turbine engine represents a complex dynamic control object. Its characteristics change depending on the state of the environment and the regimes of its operation. This paper discusses an algorithmic approach to the design of a nonlinear controller, based on the concept of constant eigenvectors and analytical design of the control system. The proposed design method makes it possible to ensure the stability and the required quality of transient processes at different acceleration modes. In this case, the constancy of the matrix of the canonical basis of the closed-loop control system is assumed, which guarantees stability. The design of a neural network dynamic model of a gas turbine engine based on a neural network approximator with one input and multiple outputs is considered. An example of the design of a nonlinear controller for a gas turbine engine is considered, the neural network model of which is given in the state space. The application of neural network approximation of controller coefficients is presented.

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