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.
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.
Series Editors` Foreword
Preface
Introduction
Notation
Chapter 1 : Introduction to Gas Turbine Engine Control
Part 1 : Gas Turbine Models
Chapter 2 : Models and the Control System Design Cycle
Chapter 3 : Off-line Models
Chapter 4 : On-line Models
Part 2 : Gas Turbine System Identification
Chapter 5 : Linear System Identification
Chapter 6 : Linear Gas Turbine Modelling
Chapter 7 : Closed-Loop Control and System Identification
Chapter 8 : Nonlinear Gas Turbine Modelling
Part 3 : New Perspectives in Modelling, Identification, Condition Monitoring and Control
Chapter 9 : Nonlinear Model Structure Selection Using Evolutionary Optimisation Methods
Chapter 10 : System Identification Using Frequency Response Techniques with Optimal Spectral Resolution
Chapter 11 : Turbo Prop Fan Engine Identification : Practical Issues
Chapter 12 : Stochastic Gas Turbine Engine Models
Chapter 13 : Markov Modelling of Turbo Prop Fan
Chapter 14 : Optimal Control of Gas Turbine Engines Using Mathematical Programming
Chapter 15 : Dynamic Model Identification of a Turbo Jet Engine
References
Index
