報告題目：New Ways to Find and Estimate Leak Size: Moving Horizon Estimation for Pipeline Leak Detection and Localization
報告時間：2025年6月16號（星期一）上午9.30開始
報告地點：中南大學岳麓山校區(qū)（校本部）民主樓210會議室
報告人：Stevan Dubljevic教授，University of Alberta.
報告簡介：
Effective pipeline leak detection and localization are essential for mitigating greenhouse gas emissions in hydrocarbon transportation systems. However, the complex spatiotemporal dynamics, limited sensor coverage, and measurement disturbances pose significant challenges. This talk presents advanced estimation and control strategies designed for pipeline networks modeled by infinite-dimensional systems governed by partial differential equations (PDEs). Specifically, a novel moving horizon estimation (MHE) framework is introduced for constrained estimation of leak size and location, using a discrete-time pipeline hydraulic model derived via the structure-preserving Cayley-Tustin discretization. By leveraging coordinate transformation, the estimation problem is decoupled to improve leak localization accuracy. On the other hand, a discrete Luenberger observer is designed for state reconstruction under limited measurements, and support vector machines (SVM) are employed for data-driven leak classification and localization. The MHE framework is further extended by integrating state and parameter estimation with model predictive control (MPC) for set-point tracking in PDEs-governed pipeline network systems. Finally, an industrial application involving a pipeline system in Alberta will be discussed.
有效的管道泄漏檢測和定位對于減少碳氫化合物運輸系統(tǒng)中的溫室氣體排放至關(guān)重要。在實際應用中，復雜的時空動態(tài)特性、有限的傳感器覆蓋以及測量干擾等因素使其面臨顯著挑戰(zhàn)。本次報告重點介紹針對偏微分方程（PDEs）描述的無窮維管道系統(tǒng)所設計的先進估計和控制策略。我們提出了一種新型滾動時域估計（MHE）框架，實現(xiàn)在約束條件下對管道泄漏量與位置的精準估計；采用Cayley-Tustin離散化方法構(gòu)建離散時間無窮維管道水力模型，并通過坐標變換解耦估計問題，從而提高泄漏定位精度。此外，我們設計了離散Luenberger觀測器用于有限測量信息下的時空狀態(tài)重構(gòu)，并采用支持向量機（SVM）實現(xiàn)數(shù)據(jù)驅(qū)動的泄漏分類與定位。為解決復雜管網(wǎng)系統(tǒng)的設定點跟蹤問題，進一步設計了MHE與模型預測控制（MPC）相結(jié)合的控制算法。最后，將探討在阿爾伯塔省管道系統(tǒng)中的工業(yè)應用案例。
報告人簡介：
Stevan Dubljevic is a full Professor at the Chemical and Materials Engineering Department at the University of Alberta. He received his Ph.D. in 2005 from the Henry Samueli School of Engineering and Applied Science at University of California Los Angeles (UCLA) and his M.S. degree (2001) from the Texas A&M University (Texas). He is the recipient of the America Heart Association (AHA) Western States Affiliate Postdoctoral Grant Award (2007–2009) and the recipient of the O. Hugo Schuck Award for Applications, from American Automatic Control Council (AACC) 2007. His research interests include systems engineering, with the emphasis on model predictive control of distributed parameter systems, dynamics and optimization of materials manufacturing (crystal growth) and chemical process operations, computational modeling and simulation of biological systems (cardiac electrophysiological systems) and biomedical engineering.
