Hammerstein‐model‐based predictive control of micro‐turbines | Zendy

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Hammerstein‐model‐based predictive control of micro‐turbines

Author(s) -

Jurado Francisco

Publication year - 2005

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

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.

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