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Optimal Control of a PEM Fuel Cell for the Inputs Minimization

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  • José de Jesús Rubio
  • Adrian Gustavo Bravo

Abstract

The trajectory tracking problem of a proton exchange membrane (PEM) fuel cell is considered. To solve this problem, an optimal controller is proposed. The optimal technique has the objective that the system states should reach the desired trajectories while the inputs are minimized. The proposed controller uses the Hamilton-Jacobi-Bellman method where its Riccati equation is considered as an adaptive function. The effectiveness of the proposed technique is verified by two simulations.

Suggested Citation

  • José de Jesús Rubio & Adrian Gustavo Bravo, 2014. "Optimal Control of a PEM Fuel Cell for the Inputs Minimization," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, March.
    • Handle: RePEc:hin:jnlmpe:698250
    DOI: 10.1155/2014/698250
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    Cited by:

    1. Mohamed Derbeli & Asma Charaabi & Oscar Barambones & Cristian Napole, 2021. "High-Performance Tracking for Proton Exchange Membrane Fuel Cell System PEMFC Using Model Predictive Control," Mathematics, MDPI, vol. 9(11), pages 1-17, May.

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