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Abstract <p>The fluid flow inside the natural gas cyclone gas-liquid separator is complex, and the difficulty in determining the liquid level switching gain leads to separator shaking and unstable liquid level control. To this end, a liquid level self correction control method based on ANFTSMC algorithm is studied: accurate liquid level change values are obtained using an algebraic sliding hybrid model based on flow field assumptions; Design a liquid level controller based on terminal sliding mode, achieve finite time convergence through nonsingular fast terminal sliding mode surface, and use adaptive law to estimate disturbance upper limit online to avoid variable singularity; Design adaptive sliding mode control law, adjust switch gain online to compensate for disturbances, reduce jitter, and stabilize liquid level; Introducing ANFTSMC algorithm to achieve liquid level self correction control. The experiment shows that this method adjusts the liquid level quickly, has a short rise time, and almost zero steady-state error, with good results.</p>

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Liquid Level Self-Tuning Control of Natural Gas Cyclone Gas-Liquid Separator Based on ANFTSMC Algorithm

  • 期刊论文

  • 发表日期：

    2026年1月1日

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  • Rubin Chen,
  • Baoping Hui,
  • Ning Wang,
  • Zhichao Li

摘要

Abstract

The fluid flow inside the natural gas cyclone gas-liquid separator is complex, and the difficulty in determining the liquid level switching gain leads to separator shaking and unstable liquid level control. To this end, a liquid level self correction control method based on ANFTSMC algorithm is studied: accurate liquid level change values are obtained using an algebraic sliding hybrid model based on flow field assumptions; Design a liquid level controller based on terminal sliding mode, achieve finite time convergence through nonsingular fast terminal sliding mode surface, and use adaptive law to estimate disturbance upper limit online to avoid variable singularity; Design adaptive sliding mode control law, adjust switch gain online to compensate for disturbances, reduce jitter, and stabilize liquid level; Introducing ANFTSMC algorithm to achieve liquid level self correction control. The experiment shows that this method adjusts the liquid level quickly, has a short rise time, and almost zero steady-state error, with good results.