Presentation
Adaptive Model Predictive Control of the Hybrid Dinamics of a Fuel Cell Systems
Author/s | Fiacchini, Mirko
Albea-Sánchez, Carolina Alamo, Teodoro Camacho, Eduardo F. |
Department | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Publication Date | 2007 |
Deposit Date | 2020-04-02 |
Published in |
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ISBN/ISSN | 1085-1992 |
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 ... 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. |
Citation | Fiacchini, M., Albea-Sánchez, C., Alamo, T. y Camacho, E.F. (2007). Adaptive Model Predictive Control of the Hybrid Dinamics of a Fuel Cell Systems. En IEEE International Conference on Control Applications (1420-1425), Singapur: Institute of Electrical and Electronics Engineers (IEEE). |
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FC_MPC_CCA07.pdf | 412.5Kb | [PDF] | View/ | |