Hammerstein-model-based predictive control of micro-turbines


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.

Año de publicación:

2006

Keywords:

  • Gas turbines
  • Pbkp_redictive control
  • Nonlinear systems

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso abierto

Áreas de conocimiento:

  • Sistema de control

Áreas temáticas de Dewey:

  • Física aplicada
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 7: Energía asequible y no contaminante
  • ODS 13: Acción por el clima
  • ODS 9: Industria, innovación e infraestructura
Procesado con IAProcesado con IA

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