Authors: Jurado, F.; Ortega, M.

Source: Electric Power Components and Systems, Volume 34, Number 5, Number 5/May 2006 , pp. 587-602(16)

Publisher: Taylor and Francis Ltd

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.

Keywords: fuel cells; fuzzy control; predictive control; nonlinear systems

Document Type: Research article

DOI: http://dx.doi.org/10.1080/15325000500352121

Affiliations: 1: University of Jaén Escuela Politecnica Superior Linares, Jaén, Spain

Publication date: 2006-05-01

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