A General Program for the Prediction of the Transient Performance of Gas Turbines

Pilidis, Pericles; Maccallum, N. R. L.

doi:10.1115/85-gt-209

Cited by 11 publications

(6 citation statements)

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“…The schematic sketch of the engine is shown in Figure 1 and the design point characteristics are shown in Table 1. A volume is added downstream of each turbomachinery component in order to simulate the flow propagation through the gas path ( Figure 1), and the ICV method [27] is used to simulate the engine's transient performance. The volume dynamics eliminate the discontinuity of engine parameters produced by the iterative and matching process in the components, and it simulates the flow propagation, especially on the pressure, temperature, and quantity change, from the inlet to the outlet of each component [28].…”

Section: The Engine Modelmentioning

confidence: 99%

“…The off-design performance has also been validated against Turbomatch code (a computing simulation platform developed by Cranfield University for performance predictions of gas turbine engines [32]). The ICV method is realistic, since it includes an allowance for air/gas mass storage; thus, its predictions must be the more valid ones in comparison with other well-known methods such as constant mass flow (CMF) [27]. The ICV modeling technique brings the engine nonlinear transient performance closest to reality.…”

Section: The Engine Modelmentioning

confidence: 99%

See 1 more Smart Citation

Advanced Constraints Management Strategy for Real-Time Optimization of Gas Turbine Engine Transient Performance

Nikolaidis¹,

Li²,

Jafari³

2019

Applied Sciences

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Motivated by the growing technology of control and data processing as well as the increasingly complex designs of the new generation of gas turbine engines, a fully automatic control strategy that is capable of dealing with different aspects of operational and safety considerations is required to be implemented on gas turbine engines. An advanced practical control mode satisfaction method for the entire operating envelope of gas turbine engines is proposed in this paper to achieve the optimal transient performance for the engine. A constraint management strategy is developed to generate different controller settings for short-range fighters as well as long-range intercontinental aircraft engines at different operating conditions by utilizing a model predictive control approach. Then, the designed controller is tuned and modified with respect to different realistic considerations including the practicality, physical limitations, system dynamics, and computational efforts. The simulation results from a verified two-spool turbofan engine model and controller show that the proposed method is capable of maneuverability and/or fuel economy optimization indices while satisfying all the predefined constraints successfully. Based on the parameters, natural frequencies, and dynamic behavior of the system, a set of optimized weighting factors for different engine parameters is also proposed to achieve the optimal and safe operation for the engine at different flight conditions. The paper demonstrates the effects of the prediction length and control horizon; adding new constraints on the computational effort and the controller performance are also discussed in detail to confirm the effectiveness and practicality of the proposed approach in developing a fully automatic optimized real-time controller for gas turbine engines.

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Section: The Engine Modelmentioning

confidence: 99%

Section: The Engine Modelmentioning

confidence: 99%

Advanced Constraints Management Strategy for Real-Time Optimization of Gas Turbine Engine Transient Performance

Nikolaidis¹,

Li²,

Jafari³

2019

Applied Sciences

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“…The inter-component volume method models the engine from intake to nozzle [6]. The model is constructed of mechanical and turbomachinery subsystems.…”

Section: Gas Turbine Engine Modelmentioning

confidence: 99%

Recursive Least Squares for Online Dynamic Identification on Gas Turbine Engines

Nikolaidis

Nalianda

2016

Journal of Guidance, Control, and Dynamics

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“…The volume of the combustion chamber is replaced here with an equivalent volume with a constant cross-section S and the length Ax. The pressures and temperatures occurring in the formula (14) thus represent inlet and outlet parameters, which must be known quantities in normal operation.…”

Section: Mass Flow Balancementioning

confidence: 99%

A General Computational Method for Simulation and Prediction of Transient Behavior of Gas Turbines

Schobeiri

1986

Volume 1: Turbomachinery

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This paper describes a general computational method for predicting the dynamic behavior of gas turbines and their components during transient processes of the most varied kinds. Starting from the conservation laws of fluid and thermodynamics, formulas are derived with which non-stationary processes in the most important components of the gas turbine can be accurately predicted. As an example, the transient behavior of an open-cycle gas turbine with extreme changes in load is calculated. The comparison between the calculations and measurements demonstrates the accuracy and the reliability of the computational method. Although this method has so far been applied only to a broad range of power-generating gas turbines extending from open-cycle turbines to air storage turbines, it is also suitable for the simulation of aircraft gas turbines.

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A General Program for the Prediction of the Transient Performance of Gas Turbines

Cited by 11 publications

References 0 publications

Advanced Constraints Management Strategy for Real-Time Optimization of Gas Turbine Engine Transient Performance

Advanced Constraints Management Strategy for Real-Time Optimization of Gas Turbine Engine Transient Performance

Recursive Least Squares for Online Dynamic Identification on Gas Turbine Engines

A General Computational Method for Simulation and Prediction of Transient Behavior of Gas Turbines

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