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Energies 2014, 7(2), 591-606; doi:10.3390/en7020591

Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells

Department of Electrical Engineering, National Chin-Yi University of Technology, 57, Section 2, Chungshan Road, Taiping District, Taichung 41107, Taiwan
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Received: 14 October 2013 / Revised: 4 January 2014 / Accepted: 23 January 2014 / Published: 27 January 2014
(This article belongs to the Special Issue Polymer Electrolyte Membrane Fuel Cells)
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Abstract

This paper presents a nonlinear control strategy utilizing the linearization and input-output decoupling approach for a nonlinear dynamic model of proton exchange membrane fuel cells (PEMFCs). The multiple-input single-output (MISO) nonlinear model of the PEMFC is derived first. The dynamic model is then transformed into a multiple-input multiple-output (MIMO) square system by adding additional states and outputs so that the linearization and input-output decoupling approach can be directly applied. A PI tracking control is also introduced to the state feedback control law in order to reduce the steady-state errors due to parameter uncertainty. This paper also proposes an adaptive genetic algorithm (AGA) for the multi-objective optimization design of the tracking controller. The comprehensive results of simulation demonstrate that the PEMFC with nonlinear control has better transient and steady-state performance compared to conventional linear techniques.
Keywords: linearization; input-output decoupling; nonlinear dynamic model; proton exchange membrane fuel cell; adaptive genetic algorithm linearization; input-output decoupling; nonlinear dynamic model; proton exchange membrane fuel cell; adaptive genetic algorithm
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Chang, L.-Y.; Chen, H.-C. Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells. Energies 2014, 7, 591-606.

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