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

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. 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.