Real-Time Transient Three Spool Turbofan Engine Simulation: A Hybrid Approach

This paper presents a transient three-spool turbofan engine simulation model that uses a combination of intercomponent volume and iterative techniques. The engine model runs in real time and has been implemented in MATLAB/SIMULINK environment. The main advantage of this hybrid approach is that it preserves the accuracy of the iterative method while maintaining the simplicity of the intercomponent volume method. The iterative approach is applied at each engine subsystem to solve algebraic thermodynamic equations for exit enthalpy, entropy, and temperature, whereas the intercomponent volume method is used to calculate pressures derivatives and hence pressures at corresponding engine stations. This allows the engine state vector to be updated at each pass through the engine calculations. This technique was applied as a test case on the Rolls Royce Trent 500 three-spool turbofan engine, and the results were compared with an iterative method. As the engine state vector is updated during each cycle, the model lends itself for easy integration into nonlinear aircraft simulations, real-time engine diagnostics/prognostics, and jet engine control applications.

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Notice of Retraction: A comparison of two combustor modeling approaches for real time turbofan engine model

2010 International Conference on Computer Application and System Modeling (ICCASM 2010) ◽

10.1109/iccasm.2010.5622963 ◽

2010 ◽

Author(s):

Kong Xiangxing ◽

Wang Xi

Keyword(s):

Real Time ◽

Turbofan Engine ◽

Engine Model ◽

Modeling Approaches

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Propulsion directorate/control and engine health management (CEHM): real-time turbofan engine simulation

2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720) ◽

10.1109/aero.2004.1368147 ◽

2005 ◽

Cited By ~ 1

Author(s):

T. Curry ◽

A. Behbahani

Keyword(s):

Real Time ◽

Health Management ◽

Turbofan Engine ◽

Engine Simulation

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Real Time Analytical Linearization of Turbofan Engine Model

Volume 4: Ceramics; Concentrating Solar Power Plants; Controls, Diagnostics and Instrumentation; Education; Electric Power; Fans and Blowers ◽

10.1115/gt2013-94464 ◽

2013 ◽

Author(s):

Gi-Yun Chung ◽

J. V. R. Prasad ◽

Manuj Dhingra ◽

Richard Meisner

Keyword(s):

Real Time ◽

Linear Model ◽

Separate Flow ◽

Computational Effort ◽

Primary Control ◽

Equilibrium Conditions ◽

Turbofan Engine ◽

Engine Model ◽

Analytical Expressions ◽

Non Equilibrium

This paper presents a methodology for developing a control oriented analytical linear model of a turbofan engine at both equilibrium and non-equilibrium conditions. This scheme provides improved accuracy over the commonly used linearization method based on numerical perturbation. Linear coefficients are obtained by evaluating at current conditions analytical expressions which result from differentiation of simplified nonlinear expressions. Residualization of the fast dynamics states are utilized since the fast dynamics are outside of the primary control bandwidth. Analytical expressions based on the physics of the aerothermodynamic processes of a gas turbine engine facilitate a systematic approach to the analysis and synthesis of model based controllers. In addition, the use of analytical expressions reduces the computational effort, enabling linearization in real time at both equilibrium and non-equilibrium conditions to enable more accurate capture of system dynamics during aggressive transient maneuvers. The methodology is formulated and applied to a separate flow twin spool turbofan engine model in the Numerical Propulsion System Simulation (NPSS) platform. The derived linear model is validated against the full nonlinear engine model.

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Real-Time Execution of a High Fidelity Aero-Thermodynamic Turbofan Engine Simulation

Journal of Engineering for Gas Turbines and Power ◽

10.1115/1.4004856 ◽

2012 ◽

Vol 134 (5) ◽

Cited By ~ 4

Author(s):

Igor Fuksman ◽

Steven Sirica

Keyword(s):

Real Time ◽

Thermodynamic Simulation ◽

High Fidelity ◽

Time Model ◽

Turbofan Engine ◽

Engine Simulation ◽

Thermodynamic Simulations ◽

Execution Speed ◽

Asme Turbo Expo ◽

Function Models

In the past, a typical way of executing simulations in a real-time environment had been to use transfer function models, state-variable models, or reduced-order aero-thermodynamic models. These models are typically not as accurate as the conventional full-fidelity aero-thermodynamic simulations used as a basis for the generation of real-time models. Also, there is a cost associated with the creation and maintenance of these derived real-time models. The ultimate goal is to use the high fidelity aero-thermodynamic simulation as the real-time model. However, execution of the high fidelity aero-thermodynamic simulation in a real-time environment is a challenging objective since accuracy of the simulation cannot be sacrificed to optimize execution speed, yet execution speed still has to be limited by some means to fit into real-time constraint. This paper discusses the methodology used to resolve this challenge, thereby enabling use of a contemporary turbofan engine high fidelity aero-thermodynamic simulation in real-time environments. This publication reflects the work that was initially presented at the ASME Turbo Expo 2011 (Fuksman and Sirica, 2011, “Real-Time Execution of a High Fidelity Aero-Thermodynamic Turbofan Engine Simulation,” ASME Turbo Expo, Jun. 6-10, Vancouver, Canada, Paper No. GT2011-46661).

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Real-Time Execution of a High Fidelity Aero-Thermodynamic Turbofan Engine Simulation

Volume 1: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Wind Turbine Technology ◽

10.1115/gt2011-46661 ◽

2011 ◽

Author(s):

Igor Fuksman ◽

Steven Sirica

Keyword(s):

Real Time ◽

Thermodynamic Simulation ◽

High Fidelity ◽

Time Model ◽

Turbofan Engine ◽

The Real ◽

Engine Simulation ◽

Thermodynamic Simulations ◽

Execution Speed ◽

Function Models

In the past, a typical way of executing simulations in the real-time environment had been to use transfer function models, state-variable models or reduced-order aero-thermodynamic models. These models are typically not as accurate as the conventional full-fidelity aero-thermodynamic simulations used as basis for generation of the real-time models. Also, there is a cost associated with creation and maintenance of these derived real-time models. The ultimate goal is to use the high fidelity aero-thermodynamic simulation as the real-time model. However, execution of the high fidelity aero-thermodynamic simulation in a real-time environment is a challenging objective since accuracy of the simulation cannot be sacrificed to optimize execution speed, yet execution speed still has to be limited by some means to fit into real-time constraint. This paper discusses the methodology used to resolve this challenge, thereby enabling use of a contemporary turbofan engine high fidelity aero-thermodynamic simulation in the real-time environments.

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Real Time Analytical Linearization of Turbofan Engine Model

Journal of Engineering for Gas Turbines and Power ◽

10.1115/1.4025310 ◽

2013 ◽

Vol 136 (1) ◽

Cited By ~ 8

Author(s):

Gi-Yun Chung ◽

J. V. R. Prasad ◽

Manuj Dhingra ◽

Richard Meisner

Keyword(s):

Real Time ◽

Linear Model ◽

Piecewise Linear ◽

Computational Effort ◽

Primary Control ◽

Turbofan Engine ◽

Engine Model ◽

Piecewise Linear Interpolation ◽

Nonequilibrium Conditions ◽

Analytical Expressions

This paper presents a methodology for developing a control oriented analytical linear model of a turbofan engine at both equilibrium and nonequilibrium conditions. This scheme provides improved accuracy over the commonly used linearization method based on numerical perturbation and piecewise linear interpolation. Linear coefficients are obtained by evaluating at current conditions analytical expressions, which result from differentiation of simplified nonlinear expressions. Residualization of the fast dynamics states are utilized since the fast dynamics are outside of the primary control bandwidth. Analytical expressions based on the physics of the aerothermodynamic processes of a gas turbine engine facilitate a systematic approach to the analysis and synthesis of model based controllers. In addition, the use of analytical expressions reduces the computational effort, enabling linearization in real time at both equilibrium and nonequilibrium conditions to enable more accurate capture of system dynamics during aggressive transient maneuvers. The methodology is formulated and applied to a separate flow twin spool turbofan engine model in the numerical propulsion system simulation (NPSS) platform. The derived linear model is validated against the full nonlinear engine model.

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Hybrid Approach and Architecture to Detect Fake News on Twitter in Real-Time using Neural Networks

2020 5th International Conference on Information Technology Research (ICITR) ◽

10.1109/icitr51448.2020.9310890 ◽

2020 ◽

Author(s):

Madusha Prasanjith Thilakarathna ◽

Vihanga Ashinsana Wijayasekara ◽

Yasiru Gamage ◽

Kavindi Hanshani Peiris ◽

Chanuka Abeysinghe ◽

...

Keyword(s):

Neural Networks ◽

Real Time ◽

Hybrid Approach ◽

Fake News

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A Comparison of Ethanol, Methanol, and Butanol Blending with Gasoline and Its Effect on Engine Performance and Emissions Using Engine Simulation

Processes ◽

10.3390/pr9081322 ◽

2021 ◽

Vol 9 (8) ◽

pp. 1322

Author(s):

Simeon Iliev

Keyword(s):

Alternative Fuels ◽

Fossil Fuels ◽

Gasoline Engine ◽

Engine Performance ◽

Exhaust Emissions ◽

Engine Simulation ◽

Engine Model ◽

Fuel Blends ◽

Performance And Emissions ◽

Blended Fuels

Air pollution, especially in large cities around the world, is associated with serious problems both with people’s health and the environment. Over the past few years, there has been a particularly intensive demand for alternatives to fossil fuels, because when they are burned, substances that pollute the environment are released. In addition to the smoke from fuels burned for heating and harmful emissions that industrial installations release, the exhaust emissions of vehicles create a large share of the fossil fuel pollution. Alternative fuels, known as non-conventional and advanced fuels, are derived from resources other than fossil fuels. Because alcoholic fuels have several physical and propellant properties similar to those of gasoline, they can be considered as one of the alternative fuels. Alcoholic fuels or alcohol-blended fuels may be used in gasoline engines to reduce exhaust emissions. This study aimed to develop a gasoline engine model to predict the influence of different types of alcohol-blended fuels on performance and emissions. For the purpose of this study, the AVL Boost software was used to analyse characteristics of the gasoline engine when operating with different mixtures of ethanol, methanol, butanol, and gasoline (by volume). Results obtained from different fuel blends showed that when alcohol blends were used, brake power decreased and the brake specific fuel consumption increased compared to when using gasoline, and CO and HC concentrations decreased as the fuel blends percentage increased.

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