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Hammerstein‐model‐based predictive control of micro‐turbines
Author(s) -
Jurado Francisco
Publication year - 2006
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.1166
Subject(s) - control theory (sociology) , model predictive control , trajectory , nonlinear system , controller (irrigation) , turbine , nonlinear model , control engineering , block (permutation group theory) , linear model , track (disk drive) , computer science , engineering , control (management) , mathematics , physics , mechanical engineering , geometry , quantum mechanics , astronomy , artificial intelligence , machine learning , agronomy , biology
Abstract Micro‐turbine operation is restricted due to mechanical, thermal, and flow limitations. Model predictive control is selected because it can explicitly handle the nonlinearities, and constraints of many variables in a single control formulation. The Hammerstein models are particular kinds of nonlinear systems where the nonlinear block is static and is accompanied by a linear system. This paper suggests a model‐based controller for the regulation of a micro‐turbine. The performances using both the linear and Hammerstein models are studied with constraints. The results show the capabilities of the proposed control to track a periodic reference trajectory and a significantly better closed‐loop response. Copyright © 2005 John Wiley & Sons, Ltd.