Dynamic Modelling of Gas Turbines: Identification, Simulation, Condition Monitoring and Optimal Control (Advances in Industrial Control)

Gas turbines play an important role in power generation and aeroengines. An extended survey of methods associated with the control and systems identification in these engines, __Dynamic Modelling of Gas Turbines__ reviews current methods and presents a number of new perspectives. • Describes a total modelling and identification program for various classes of aeroengine, allowing you to deal with the engine’s behaviour over its complete life cycle. • Shows how the above regime can be applied to a real engine balancing the theory with practical use. • Follows a comparative approach to the study of existing and newly derived techniques thus offering an informed choice of controllers and models from the tried-and trusted to the most up-to-date evolutionary optimisation models. • Presents entirely novel work in modelling, optimal control and systems identification to help you get the most from your engine designs. __Dynamic Modelling of Gas Turbines__ represents the latest research of three groups of internationally recognised experts in gas turbine studies. It will be of interest to academics working in aeroengine control and to industrial practitioners in companies concerned with their design. The work presented here is easily extendible to be relevant in other areas in which gas turbines play a role such as power engineering. __Advances in Industrial Control__ aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. Front Matter....Pages i-xxvi Introduction to Gas Turbine Engine Control....Pages 1-13 Front Matter....Pages 15-15 Models and the Control System Design Cycle....Pages 17-26 Off-line Models....Pages 27-46 On-line Models....Pages 47-62 Front Matter....Pages 63-63 Linear System Identification....Pages 65-88 Linear Gas Turbine Modelling....Pages 89-116 Closed-Loop Control and System Identification....Pages 117-130 Nonlinear Gas Turbine Modelling....Pages 131-155 Front Matter....Pages 157-157 Nonlinear Model Structure Selection Using Evolutionary Optimisation Methods....Pages 159-176 System Identification Using Frequency Response Techniques with Optimal Spectral Resolution....Pages 177-196 Turbo Prop Fan Engine Identification: Practical Issues....Pages 197-215 Stochastic Gas Turbine Engine Models....Pages 217-232 Markov Modelling of Turbo Prop Fan....Pages 233-250 Optimal Control of Gas Turbine Engines Using Mathematical Programming....Pages 251-270 Dynamic Model Identification of a Turbo Jet Engine....Pages 271-292 Back Matter....Pages 293-309 An extended survey of methods for the control and systems identification in gas turbines, this book reviews current methods and presents a number of new perspectives. • Describes a total modelling and identification program for various classes of aeroengine, allowing you to deal with an engine's behaviour over its complete life cycle and apply the program to a real engine balancing the theory with practical use. • Follows a comparative approach to the study of existing and newly derived techniques offering an informed choice of controllers and models. • Presents novel work in modelling, optimal control and systems identification to help you get the most from your engine designs The editors collect the research of three groups of internationally recognised experts. It will be of interest to academics working in aeroengine control and to industrial practitioners concerned with their design. The work presented is easily extendible to other areas in which gas turbines play a role such as power engineering. Whereas other books in this area stick to the theory, this book shows the reader how to apply the theory to real engines. It provides access to up-to-date perspectives in the use of a variety of modern advanced control techniques to gas turbine technology.