Model Based Predictive Control of Fuel Cells

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.

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