Adaptive model predictive control of the hybrid dynamics of a fuel cell system

Mirko Fiacchini * Teodoro Alamo 1 Carolina Albea 1, 2, 3 Eduardo Fernandez Camacho
* Auteur correspondant
1 ISA - Departamento de Ingenieria de Sistemas y Automatica [Sevilla]
2 GIPSA-lab - Grenoble Images Parole Signal Automatique
3 NECS - Networked Controlled Systems
Inria Grenoble - Rhône-Alpes, GIPSA-DA - Département Automatique
Abstract : In this paper, an adaptive control scheme for the safe operation of a fuel cell system is presented. The aim of the control design is to guarantee that the oxygen ratio do not reach dangerous values. A first level of control is given by a feedforward control. An improved behavior is obtained using an adaptive predictive controller to determine the voltage to be applied to the air compressor. An admissible robust control invariant set for the PWA model of the system is computed. The control action of the predictive controller is obtained in such a way that the state is always included in the safe region characterized by the admissible robust control invariant set. This guarantees that the proposed controller always provides safe evolutions of the system.
Type de document :
Communication dans un congrès
16th IEEE International Conference on Control Applications, CCA, Oct 2007, Singapore, Singapore. Control Applications, 2007. CCA 2007. IEEE International Conference on, pp.1420 - 1425, 2007, 〈10.1109/CCA.2007.4389435〉
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Contributeur : Carolina Albea Sanchez <>
Soumis le : vendredi 15 février 2008 - 20:20:07
Dernière modification le : vendredi 26 octobre 2018 - 01:14:08
Document(s) archivé(s) le : jeudi 20 mai 2010 - 18:29:51

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Mirko Fiacchini, Teodoro Alamo, Carolina Albea, Eduardo Fernandez Camacho. Adaptive model predictive control of the hybrid dynamics of a fuel cell system. 16th IEEE International Conference on Control Applications, CCA, Oct 2007, Singapore, Singapore. Control Applications, 2007. CCA 2007. IEEE International Conference on, pp.1420 - 1425, 2007, 〈10.1109/CCA.2007.4389435〉. 〈hal-00256633〉

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