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    Auto-Tuning Control of Proton Exchange Membrane Water Electrolyzer With Self-Assessment and Gain Scheduling

    Source: Journal of Dynamic Systems, Measurement, and Control:;2021:;volume( 143 ):;issue: 005::page 051009-1
    Author:
    Keow, Alicia Li Jen
    ,
    Chen, Zheng
    DOI: 10.1115/1.4049365
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Proton exchange membrane (PEM) electrolyzer can produce gases at the pressure suitable for direct storage into metal hydride cylinders, bypassing compressors, and other auxiliary components. For direct storage into metal hydride containers, hydrogen gas's pressure and flowrate must be well controlled. However, the PEM electrolyzer's time-variant and nonlinear dynamics call for an adaptive control to maintain its output performance. Therefore, in this paper, a model-free relay-feedback autotuning approach is proposed to tune a proportional-integral (PI) controller online. The controller determines the voltage supply to the electrolyzer to track a certain current setpoint, which corresponds to a constant hydrogen production rate. A gain scheduling approach is developed to pick up the right controller gain at different setpoints, minimizing the tuning frequency. A self-assessment algorithm is developed to determine the situations where the autotuner should activate to update the PI parameters, thus allowing the control system to be tuned autonomously. The autotuning PI control is successfully tested with a PEM electrolyzer setup. Experiment results showed that autotuner with gain scheduling could tune the controller parameters producing a desired transient behavior and is adaptive to the variations in setpoint and operating conditions.
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      Auto-Tuning Control of Proton Exchange Membrane Water Electrolyzer With Self-Assessment and Gain Scheduling

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4277100
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorKeow, Alicia Li Jen
    contributor authorChen, Zheng
    date accessioned2022-02-05T22:11:45Z
    date available2022-02-05T22:11:45Z
    date copyright2/8/2021 12:00:00 AM
    date issued2021
    identifier issn0022-0434
    identifier otherds_143_05_051009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277100
    description abstractProton exchange membrane (PEM) electrolyzer can produce gases at the pressure suitable for direct storage into metal hydride cylinders, bypassing compressors, and other auxiliary components. For direct storage into metal hydride containers, hydrogen gas's pressure and flowrate must be well controlled. However, the PEM electrolyzer's time-variant and nonlinear dynamics call for an adaptive control to maintain its output performance. Therefore, in this paper, a model-free relay-feedback autotuning approach is proposed to tune a proportional-integral (PI) controller online. The controller determines the voltage supply to the electrolyzer to track a certain current setpoint, which corresponds to a constant hydrogen production rate. A gain scheduling approach is developed to pick up the right controller gain at different setpoints, minimizing the tuning frequency. A self-assessment algorithm is developed to determine the situations where the autotuner should activate to update the PI parameters, thus allowing the control system to be tuned autonomously. The autotuning PI control is successfully tested with a PEM electrolyzer setup. Experiment results showed that autotuner with gain scheduling could tune the controller parameters producing a desired transient behavior and is adaptive to the variations in setpoint and operating conditions.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAuto-Tuning Control of Proton Exchange Membrane Water Electrolyzer With Self-Assessment and Gain Scheduling
    typeJournal Paper
    journal volume143
    journal issue5
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4049365
    journal fristpage051009-1
    journal lastpage051009-10
    page10
    treeJournal of Dynamic Systems, Measurement, and Control:;2021:;volume( 143 ):;issue: 005
    contenttypeFulltext
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