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

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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)

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.

Suggested Citation

  • Long-Yi Chang & Hung-Cheng Chen, 2014. "Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells," Energies, MDPI, vol. 7(2), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:2:p:591-606:d:32564
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    References listed on IDEAS

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    2. Sankar, K. & Thakre, Niraj & Singh, Sumit Mohan & Jana, Amiya K., 2017. "Sliding mode observer based nonlinear control of a PEMFC integrated with a methanol reformer," Energy, Elsevier, vol. 139(C), pages 1126-1143.
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    4. Devin Fowler & Vladimir Gurau & Daniel Cox, 2019. "Bridging the Gap between Automated Manufacturing of Fuel Cell Components and Robotic Assembly of Fuel Cell Stacks," Energies, MDPI, vol. 12(19), pages 1-14, September.

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