Dynamic Modelling of Gas Turbines

Identification, Simulation, Condition Monitoring and Optimal Control
2004. Auflage 2004
ISBN: 978-1-85233-784-1
Verlag: Springer

Buch, Englisch, 310 Seiten, Format (B × H): 159 mm x 241 mm, Gewicht: 1450 g

Reihe: Advances in Industrial Control

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.

Zielgruppe

Research

Autoren/Hrsg.

Kulikov, Gennady G

Thompson, Haydn A

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Triebwerkstechnik, Energieübertragung

Inhaltsverzeichnis

Introduction to Gas Turbine Engine Control.- Part I: Gas Turbine Models.- Models and the Control System Design Cycle.- Off-line Models.- On-line Models.- Part II: Gas Turbine System Identification.- Linear System Identification.- Linear Gas Turbine Modelling.- Closed-loop Control and System Identification.- Nonlinear Gas Turbine Modelling.- Part III: New Perspectives in Modelling, Identification, Condition Monitoring and Control.- Nonlinear Model Structure Selection Using Evolutionary Optimisation Methods.- System Identification Using Frequency Response Techniques with Optimal Spectral Resolution.- Turbo Prop Fan Engine Identification: Practical Issues.- Stochastic Gas Turbine Engine Models.- Markov Modelling of a Turbo Prop Fan.- Optimal Control of Gas Turbine Engines Using Mathematical Programming.- Dynamic Model Identification of a Turbo Jet Engine.

Über Autor(innen)

The Editor, Professor Haydn Thompson, has 21 years’ experience working in a mixture of senior industrial research and development roles in flight control systems, space programmes and signal processing applications. In 1993 he joined the newly initiated Rolls-Royce Control and Systems University Technology Centre as Programme Manager. He is a consultant to Rolls-Royce, the MoD and the European Commission. He has over 60 publications on applications of distributed systems, multi-disciplinary multi-objective optimisation and gas turbine engine control and fault diagnosis. He has also written a book on gas turbine engine control. He is a member of the International Federation of Automatic Control’s (IFAC) International Aerospace Control, Mechatronics and Real-Time Computing and Control Committees, the Institution of Electronic and Electrical Engineers Aerospace Committee, and IEE representative on committees at the IMechE and Royal Aeronautical Society. He is a member of the American Institute of Aeronautics and Astronautics.