Gas Turbines Modeling, Simulation, and Control

This book provides novel approaches to gas turbine (GT) modeling, simulation, and control using artificial neural networks (ANNs). It outlines important considerations for beginning the GT modeling process, highlights research in white-box and black-box modeling, discusses the structure of ANNs and the ANN-based model-building process, and presents a noteworthy ANN-based methodology for offline system identification of GTs. It also covers the modeling of GT transient behavior and start-up operation, and the design of proportional-integral-derivative (PID) and neural network-based controllers.