In this paper, we investigate application of Nonlinear Model Predictive Control (NMPC) for controlling thrust of a single spool gas turbine engine. We showcase the Nozzle development of a nonlinear black-box model based on Weiner Fuel cozzle modeling approach. The model consists of linear dynamic block Cotr C parameterized by Laguerre, orthonormal basis functions, L y followed by a static nonlinear block captured in Artificial Neural Network (ANN). This model is used to predict gas turbine performance and a closed-loop controller is realized using NMiPCnlet COMp tIb exh formulation. Model validation in open-loop highlights potential of the identification methodology. Closed-loop simulation results Fig. 1. Single spool gas turbine configuration showcase very satisfactory control performance for gas turbine engine thrust tracking control problem and bring forth the This advanced multi-variable optimization based dynamic applicability of NMPC formulation for highly nonlinear systems control technique is popular for a wide range of supervisory with fast dynamics. process control applications. In [1, 2, 3 and 4], efforts have been made to examine application of NMPC to fast dynamic
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