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Robust Extremum Seeking Control with application to Gas Lifted Oil Wells

机译:鲁棒极值搜索控制在气举油井中的应用

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Classical extremum seeking control (ESC), when applied to systems with disturbances, can be subject to large deviations during transients caused by abrupt changes in the disturbances. In oil and gas production applications, such deviations can make ESC impractical. This paper presents a simple yet practical extension to the classical gradient-based extremum seeking control to make it robust to such disturbances, by removing the effect of the disturbance with a priori information of the disturbance model. Modelling and robustness of the disturbance models are discussed. The proposed method is demonstrated by a simulation-based study on gas lift optimization of a single well in oil and gas production.
机译:当将经典极值搜寻控制(ESC)应用于具有干扰的系统时,在由干扰的突变引起的瞬变过程中,可能会出现较大的偏差。在石油和天然气生产应用中,这种偏差会使ESC不切实际。本文提出了对经典的基于梯度的极值搜索控制的简单而实用的扩展,以通过使用干扰模型的先验信息消除干扰的影响,使其对此类干扰具有鲁棒性。讨论了干扰模型的建模和鲁棒性。该方法通过基于模拟的油气生产中单井气举优化研究得到了证明。

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