Model based predictive control of fuel cells

Abstract:

The solid oxide fuel cell power plant is known to be a potential alternative in the electric utility field. However, the output voltage of the solid oxide fuel cell changes with load variations. Model predictive control is part of a family of optimization based control methods, which are based on on-line optimization of future control moves. This paper proposes a model based controller for the regulation of a solid oxide fuel cell. Performances using both linear and fuzzy Hammerstein models are evaluated with constraints. © 2006 Taylor & Francis Inc.

Año de publicación:

2006

Keywords:

• fuel cells
• Pbkp_redictive control
• Fuzzy Control
• Nonlinear systems

Fuente:

scopus