Real-Time Engine Modelling of a Three Shafts Turbofan Engine: From Sub-Idle to Max Power Rate

Author(s):  
Sogkyun Kim ◽  
Sean Ellis ◽  
Mark Challener

Real-Time Engine Models are required for operation with engine electronic control systems and/or aircraft simulators for functional demonstration. The challenge for Rolls-Royce has been to establish the sub-idle speed behaviour of the engine. This paper covers the development steps by the Civil Aerospace Modelling and Simulation team to resolve this limitation in the models. The real-time engine model is now generated using two non-linear thermodynamic engine models. One of the thermodynamic engine models, normal range, covers the idle to max power range and the other is for sub-idle operation. Previously sub-idle operation was established by extrapolation from the normal range model. However, this method limited control system development by simulation for altitude starting adding time to altitude test programmes in high cost facilities. The requirement for the technique is to obtain the partial derivatives and steady-state data for the whole operating range. For the partial derivative estimation in sub-idle region, a variable perturbation size is introduced and changed according to the different shaft speed so that the sensitivity issue of using a fixed perturbation size in this operating range is resolved. Furthermore, the partial derivative of each parameter from the non-linear models is fine tuned by comparing with the steady-state values for each parameter. The summation of the integrated partial derivatives should be same as the steady-state value of each engine parameter. If an error exists then an adjustment of each integrated partial derivative is conducted according to the relative weight of each integrated partial derivatives contribution to the whole. It is highlighted that error sharing between the integrated partial derivative parameters results in less error during the validation process. The real-time engine model is constructed in state-space modular subsystems in SIMULINK, which include an engine shaft block to generate the engine shaft speeds, and fuel block to generate a signal of engine lit, etc. The database generated by the process of partial derivatives is then used in calculation of engine’s shaft speeds, temperatures and pressures. For the test of the real-time engine model obtained in this study, simulation of engine starting from stationary is conducted. Using a starter torque as the input to the engine model, starter-assisted starting can be achieved. In addition, engine relighting in flight is also conducted. The output of the real-time engine model has been compared with flight test data for engine relight and agreement has been demonstrated.

Author(s):  
Hubert Sar ◽  
Andrzej Reński ◽  
Janusz Pokorski

This paper presents a method of identifying the dynamic characteristics of tyres for non-steady-state conditions on the basis of road measurements on a vehicle. The side force acting on the tyre is presented as a function of not only the slip angle but also the slip angle derivative (i.e. the velocity of the change in the slip angle). Hence, the influence of the manoeuvre dynamics on the tyre characteristics and the difference between the characteristics obtained for steady-state conditions and the characteristics for non-steady-state conditions are shown. Also the results of computer simulations prepared for different types of tyre characteristics are presented in this paper. It is evident from the presented graphs that applying dynamic non-linear tyre characteristics for computer simulations instead of steady-state characteristics enables us to describe the real motion of a vehicle better.


Author(s):  
Claus Riegler ◽  
Michael Bauer ◽  
Holger Schulte

During turbofan development programs the evaluation of steady-state and transient engine performance is usually achieved by applying full thermodynamic engine models at least in the operating range between idle and maximum power conditions, but more recently also in the sub-idle operating range, e.g. for steady-state windmilling behavior and for starting, relight and shut down scenarios. The paper describes the setup, and in more detail the validation, of a full thermodynamic engine model for a two-spool mixed flow afterburner turbofan which is capable to run from maximum power down to zero speed and zero flow conditions in steady-state and transient mode. The validation is performed by using the model-based performance analysis procedure called ANSYN even in windmilling operation. Once the steady-state sub-idle model is validated the extension to transient sub-idle capability is achieved by simply adding the effects of rotor moment of inertia of the spools, while heat soakage effects are rather negligible without heat release in the burner. Especially lighting conditions in the burner are produced by such a validated sub-idle model inherently due to reliable data calculated at the burner entry station. The variety of applications of a validated full thermodynamic engine model is large. The performance data delivered is highly reliable and very consistent because the full operating range of the engine is covered with one model, and by appropriate means of speeding up the calculation even real-time capability may be achieved. In the paper synthesized data for an engine dry crank is compared to real engine test data as one typical application.


2013 ◽  
Vol 385-386 ◽  
pp. 668-674
Author(s):  
Jia Yang ◽  
Hai Bao ◽  
Ling Wang ◽  
Gang Liu

Steady-state power flow calculation belongs to power system steady-state analysis, and the data used in calculation should be steady-state data. However, the existing SCADA system hasnt distinguished the transient data from the steady-state data. The real-time measured data reflect the dynamic electric power system. It is the right reason for not all of the real-time measured power can be used for power flow calculation. In another word, it causes the matching problem between measured data and power flow calculations. Based on the current situation of information collection system, the characteristics of the measured data had been analyzed in this paper. And an effective acquisition method for steady-state measured data is proposed on the theoretical basis of the law of large numbers. It uses the average value of the measured data that in the same load state to approximate the steady-state true value in one period. And the steady-state data can be used in power flow calculation. The simulation results show that the method proposed in this paper ensures the accuracy and reliability of power flow calculation.


2020 ◽  
Vol 142 (6) ◽  
Author(s):  
Yuhyeok Jo ◽  
Kyunghan Min ◽  
Myoungho Sunwoo ◽  
Manbae Han

Abstract Low pressure cooled exhaust gas recirculation (LP-EGR) system has been widely adopted to improve energy efficiency in turbocharged gasoline direct injection (GDI) engines. In order to utilize complete beneficial effects of the LP-EGR, a technique capable of accurately observing the LP-EGR flow into the cylinder in real-time is a prerequisite. To precisely estimate the LP-EGR rate in real-time, this paper proposes artificial neural network (ANN) models and its implementation on a real-time embedded system. As inputs for the ANN models, 12 combustion parameters physically correlated with the LP-EGR in the combustion process are selected and calculated from the in-cylinder pressure. The ANN models for the real-time LP-EGR estimation were trained with the steady-state data of 30,000 cycles and their hyper-parameters were searched by a hyper-parameter optimization method. Moreover, a model-based design procedure is introduced to implement the optimized ANN models on the real-time embedded system. Since the proposed implementation performs the validation procedure for each process, it provides a systematic and seamless process for creating ANN models for real-time embedded systems. In real-time experiments under eight steady-state engine operating points, the embedded ANN models show the estimation performance with R2 of above 0.9716. The operation time of each ANN was less than 1.285 ms meaning that the target system can operate in real-time sufficiently with a mass-produced 32 bit microprocessor up to 256 MHz.


2013 ◽  
Vol 816-817 ◽  
pp. 1250-1253
Author(s):  
Yu Zhuo Zhang

SCADA system is a real-time data source, and it can accurately record the real-time information of the power system. Due to renewable energy's connection to the power system, load fluctuations and scheduling switching operation, the power system is often in a dynamic process. The telemetry data provided by SCADA system contains two parts, the steady-state data and transient data. The data cannot be directly used in state estimation. So we propose histogram thinking and extract steady-state data from the real-time telemetry data, which provides good data for state estimation. This method has the character of quick calculating speed and accuracy, and is adapted to the needs of real-time data's processing.


2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  

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