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.
Series
Edition
Softcover reprint of hardcover 1st ed. 2004
Language
Place of publication
Target group
Professional and scholarly
Research
Illustrations
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 19 mm
Weight
ISBN-13
978-1-84996-914-7 (9781849969147)
DOI
10.1007/978-1-4471-3796-2
Schweitzer Classification
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.
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.