Optimal Control of a PEM Fuel Cell for the Inputs Minimization | Zendy

José de Jesús Rubio | Zendy; Adrian Gustavo Bravo | Zendy

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Optimal Control of a PEM Fuel Cell for the Inputs Minimization

Author(s) -

José de Jesús Rubio,

Adrian Gustavo Bravo

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/698250

Subject(s) - proton exchange membrane fuel cell , control theory (sociology) , trajectory , controller (irrigation) , minification , optimal control , riccati equation , tracking (education) , fuel efficiency , function (biology) , mathematical optimization , computer science , control (management) , fuel cells , mathematics , engineering , differential equation , automotive engineering , physics , artificial intelligence , psychology , agronomy , mathematical analysis , pedagogy , astronomy , chemical engineering , evolutionary biology , biology

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

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