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A previously validated single spool, non-after burning turbojet engine model GEXX is converted to MATLAB / SIMULINK to illustrate the benefits of a graphical simulation system with a graphical user interface (GUI). The model simulates the dynamics of burner, compressor, turbine, and the gas volume after the turbine(before the nozzle) with compressor bleed, variable compressor stators and variable nozzle area as the inputs. The engine model can be used in four ways:# As a nonreal-time engine model for testing engine control algorithms. # As an embedded model within a control algorithm or observer. # As a system model for evaluating engine sensor and actuator models. # As a subsystem in a powertrain or vehicle dynamics model. Although developed and validated for a specific engine (the high speed spool of the GE16), the modeling procedure is generic enough to be used for a wide range of jet engines. The model which we used as reference for our model is created by matching the basic performance of the engine. The model allows varying the Power Lever Angle(PLA) and altitude during the simulation and the performance is recorded as the time history of the different variables. Similarly, the model was simulated at different flight velocities. The performance of the engine was studied by comparing the output variables at different PLA, altitude and velocity settings. The dynamics of the system can be clearly studied by using this SIMULINK model.
The book is written for engineers and students who wish to address the preliminary design of gas turbine engines, as well as the associated performance calculations, in a practical manner. A basic knowledge of thermodynamics and turbomachinery is a prerequisite for understanding the concepts and ideas described. The book is also intended for teachers as a source of information for lecture materials and exercises for their students. It is extensively illustrated with examples and data from real engine cycles, all of which can be reproduced with GasTurb (TM). It discusses the practical application of thermodynamic, aerodynamic and mechanical principles. The authors describe the theoretical background of the simulation elements and the relevant correlations through which they are applied, however they refrain from detailed scientific derivations.
A recent development in the design of control system for a jet engine is to use a suitable, fast and accurate model running on board. Development of linear models is particularly important as most engine control designs are based on linear control theory. Engine control performance can be significantly improved by increasing the accuracy of the developed model. Current state-of-the-art is to use piecewise linear models at selected equilibrium conditions for the development of set point controllers, followed by scheduling of resulting controller gains as a function of one or more of the system states. However, arriving at an effective gain scheduler that can accommodate fast transients covering a wide range of operating points can become quite complex and involved, thus resulting in a sacrifice on controller performance for its simplicity. :This thesis presents a methodology for developing a control oriented analytical linear model of a jet engine at both equilibrium and off-equilibrium conditions. This scheme requires a nonlinear engine model to run onboard in real time. The off-equilibrium analytical linear model provides improved accuracy and flexibility over the commonly used piecewise linear models developed using numerical perturbations. 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 typically 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 off-equilibrium conditions for a 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 fidelity of linear model is examined by validating against a detailed nonlinear engine model using time domain response, the normalized additive uncertainty and the nu-gap metric. The effects of each simplifying assumptions, which are crucial to the linear model development, on the fidelity of the linear model are analyzed in detail. A case study is performed to investigate the case when the current state (including both slow and fast states) of the system is not readily available from the nonlinear simulation model. Also, a simple model based control is used to illustrate benefits of using the proposed modeling approach.
A significant addition to the literature on gas turbine technology, the second edition of Gas Turbine Performance is a lengthy text covering product advances and technological developments. Including extensive figures, charts, tables and formulae, this book will interest everyone concerned with gas turbine technology, whether they are designers, marketing staff or users.
This book written by a world-renowned expert with more than forty years of active gas turbine R&D experience comprehensively treats the design of gas turbine components and their integration into a complete system. Unlike many currently available gas turbine handbooks that provide the reader with an overview without in-depth treatment of the subject, the current book is concentrated on a detailed aero-thermodynamics, design and off-deign performance aspects of individual components as well as the system integration and its dynamic operation.This new book provides practicing gas turbine designers and young engineers working in the industry with design material that the manufacturers would keep proprietary. The book is also intended to provide instructors of turbomachinery courses around the world with a powerful tool to assign gas turbine components as project and individual modules that are integrated into a complete system. Quoting many statements by the gas turbine industry professionals, the young engineers graduated from the turbomachinery courses offered by the author, had the competency of engineers equivalent to three to four years of industrial experience.
This book aims to develop systematic design methodologies to model-based nonlinear control of aeroengines, focusing on (1) modelling of aeroengine systems—both component-level and identification-based models will be extensively studied and compared; and (2) advanced nonlinear control designs—set-point control, transient control and limit-protection control approaches will all be investigated. The model-based design has been one of the pivotal technologies to advanced control and health management of propulsion systems. It can fulfil advanced designs such as fault-tolerant control, engine modes control and direct thrust control. As a consequence, model-based design has become an important research area in the field of aeroengines due to its theoretical interests and engineering significance. One of the central issues in model-based controls is the tackling of nonlinearities. There are publications concerning with either nonlinear modelling or nonlinear controls; yet, they are scattered throughout the literature. It is time to provide a comprehensive summary of model-based nonlinear controls. Consequently, a series of important results are obtained and a systematic design methodology is developed which provides consistently enhanced performance over a large flight/operational envelope, and it is thus expected to provide useful guidance to practical engineering in aeroengine industry and research.
This thesis is concerned with the results of a joint academic and industrial study on the development of a detailed nonlinear dynamic model of a turbofan jet engine to be used for research into advanced control strategies for civil turbofan aircraft engines. The model is representative of a dual shaft engine with variable bleed, variable stator vanes, turbine cooling, heat transfer, and a duct and exhaust nozzle. A switched, gain-scheduled, feedback control system incorporating bumpless transfer and antiwindup functionality has been designed and implemented according to current industrial practice. This baseline implementation permits realistic transient operation of the simulation and may act as a reference design for further control work. The simulation computes a non-iterative solution, by progressing calculations in the direction of the gas stream flow. Where possible the underlying physics are used and empirical approximations are avoided so that the model requires minimum data. This approach also makes a future inclusion of component failure easier to implement. The simulation is modular in nature so that engine or control modules can be easily replaced or modified if an improved design becomes available. The Simulink implementation of the control architecture has been redesigned to permit the addition or removal of control loops, also during the simulation?s operation, to allow testing of advanced control strategies. The entire controller can also be easily replaced. A detailed description of the modeling process, the various simulation issues that arise with a model of this complexity, and the results of the overall aero-engine system are presented. The design of the switched, gain-scheduled aero-engine controller with bumpless transfer and antiwindup which achieves dynamic performance that closely matches that of a real aero-engine is also discussed.
Overview of engine control systems -- Engine modeling and simulation -- Model reduction and dynamic analysis -- Design of set-point controllers -- Design of transient and limit controllers -- Control system integration -- Advanced control concepts -- Engine monitoring and health management -- Integrated control and health monitoring -- Appendix A. Fundamentals of automatic control systems -- Appendix B. Gas turbine engine performance and operability.