Robust Extremum Seeking Control with application to Gas Lifted Oil Wells

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• 作者：Dinesh Krishnamoorthy^* ; ^{dikr@statoil.no" class="auth_mail" title="E-mail the corresponding author} ; Alexey Pavlov^* ; ^{alepav@statoil.com" class="auth_mail" title="E-mail the corresponding author} ; Qin Li^* ; ^{ql@statoil.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Extremum Seeking Control ; Adaptive ; Optimisation ; Disturbance rejection
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：13
• 页码：205-210
• 全文大小：582 K

文摘

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.