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<p>This study presents a modeling approach for a spring-loaded pressure regulator that incorporates compensation factors to account for piston movement, and validates it using both simulation and experimental data. The behavior of the regulator was simulated under varying inlet pressure conditions, and the results were compared with experimental measurements of the regulation and outlet pressures. A key aspect of the experiment involved directly measuring the internal regulation pressure, which provided a more accurate model validation. To evaluate performance, a conventional model and a compensation pressure model (CPM) were compared. The normalized root mean square error (NRMSE) was used to quantify the prediction accuracy of each model. Among the CPM approaches, the exponential model (CPEM) exhibited superior performance compared to the conventional and linear model (CPLM), with outlet and regulation pressure errors of 0.07 and 0.20. This confirms that the exponential form of the compensation factor provides greater predictive accuracy. These results indicate that CPM effectively models high-pressure regulator systems with improved precision.</p>

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Enhancing predictive accuracy of high-pressure spring-loaded regulators via piston displacement compensation

  • 期刊论文

  • 发表日期：

    2026年6月3日

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  • Jiyun An,
  • Jaeseong Choi,
  • Hwa Young Kim

摘要

This study presents a modeling approach for a spring-loaded pressure regulator that incorporates compensation factors to account for piston movement, and validates it using both simulation and experimental data. The behavior of the regulator was simulated under varying inlet pressure conditions, and the results were compared with experimental measurements of the regulation and outlet pressures. A key aspect of the experiment involved directly measuring the internal regulation pressure, which provided a more accurate model validation. To evaluate performance, a conventional model and a compensation pressure model (CPM) were compared. The normalized root mean square error (NRMSE) was used to quantify the prediction accuracy of each model. Among the CPM approaches, the exponential model (CPEM) exhibited superior performance compared to the conventional and linear model (CPLM), with outlet and regulation pressure errors of 0.07 and 0.20. This confirms that the exponential form of the compensation factor provides greater predictive accuracy. These results indicate that CPM effectively models high-pressure regulator systems with improved precision.