On the implementation of gain-scheduled LPV control for oxygen stoichiometry regulation in PEM fuel cells

Bianchi, Fernando D.; Kunusch, Cristian; Ocampo‐Martínez, Carlos; Peña, Ricardo

doi:10.1109/cdc.2013.6760011

Cited by 3 publications

References 21 publications

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Model Reference Gain Scheduling Control of a PEM Fuel Cell Using Takagi-Sugeno Modelling

Rotondo

Puig

Nejjari

2014

Information Processing and Management of Uncertainty in Knowledge-Based Systems

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Abstract. In this paper, a solution for the oxygen stoichiometry control problem for Proton Exchange Membrane (PEM) fuel cells is presented. The solution relies on the use of a reference model, where the resulting nonlinear error model is brought to a Takagi-Sugeno (TS) form using the non-linear sector approach. The TS model is suitable for designing a controller using Linear Matrix Inequalities (LMI)-based techniques, such that the resulting closed-loop error system is stable with poles placed in some desired region of the complex plane. Simulation results are used to show the effectiveness of the proposed approach. In particular, the PEM fuel cell can reach asymptotically the oxygen stoichiometry set-point despite all the considered stack current changes.

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Model Reference Gain Scheduling Control of a PEM Fuel Cell Using Takagi-Sugeno Modelling

Rotondo

Puig

Nejjari

2014

Information Processing and Management of Uncertainty in Knowledge-Based Systems

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Fault Tolerant Control of a PEM Fuel Cell using qLPV Virtual Actuators

2015

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Abstract:This paper proposes a fault tolerant control (FTC) strategy based on the use of quasi-linear parameter varying (qLPV) virtual actuators approach for proton exchange membrane (PEM) fuel cells. The overall solution relies on adding a virtual actuator in the control loop to hide the fault from the controller point of view, allowing it to see the same plant as before the fault, in this way keeping the stability and some desired performances. The proposed methodology is based on the use of a reference model, where the resulting nonlinear error model is brought to a qLPV form that is used for control design by means of linear matrix inequalities (LMI)-based techniques. The resulting closed-loop error system is stable with poles placed in some desired region of the complex plane. Simulation results are used to show the effectiveness of the proposed approach.

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