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

Long-Yi Chang and Hung-Cheng Chen
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Long-Yi Chang: Department of Electrical Engineering, National Chin-Yi University of Technology, 57, Section 2, Chungshan Road, Taiping District, Taichung 41107, Taiwan
Hung-Cheng Chen: Department of Electrical Engineering, National Chin-Yi University of Technology, 57, Section 2, Chungshan Road, Taiping District, Taichung 41107, Taiwan

Energies, 2014, vol. 7, issue 2, 1-16

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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