文章基本信息

标题：Economic Optimization of Spray Dryer Operation using Nonlinear Model Predictive Control with State Estimation
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作者：Lars Norbert Petersen ; John Bagterp Jorgensen ; James B. Rawlings 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：8
页码：507-513
DOI：10.1016/j.ifacol.2015.09.018
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, we develop an economically optimizing Nonlinear Model Predictive Controller (E-NMPC) for a complete spray drying plant with multiple stages. In the E-NMPC the initial state is estimated by an extended Kalman Filter (EKF) with noise covariances estimated by an autocovariance least squares method (ALS). We present a model for the spray drying plant and use this model for simulation as well as for prediction in the E-NMPC. The open-loop optimal control problem in the E-NMPC is solved using the single-shooting method combined with a quasi-Newton Sequential Quadratic Programming (SQP) algorithm and the adjoint method for computation of gradients. We evaluate the economic performance when unmeasured disturbances are present. By simulation, we demonstrate that the E-NMPC improves the profit of spray drying by 17% compared to conventional PI control.
关键词：KeywordsNonlinear Model Predictive ControlOptimizationGrey-box modelSpray Drying