Dynamic Modelling of Gas Turbines (eBook, PDF)

Identification, Simulation, Condition Monitoring and Optimal Control
Redaktion: Kulikov, Gennady G.; Thompson, Haydn A.

• Format: PDF

Produktbeschreibung

Demand for this book will be generated from academics and engineers looking for ways to make engine technology more fuel-efficient/less polluting and cheaper to run. In the current economic climate in both the aviation and power generation industries efficiency and low costs are at a premium.

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Produktdetails

• Verlag: Springer London
• Seitenzahl: 310
• Erscheinungstermin: 11. Dezember 2013
• Englisch
• ISBN-13: 9781447137962
• Artikelnr.: 44058391

Autorenporträt

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.

Inhaltsangabe

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.