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Hierarchical Optimal Operation of Continuous-Batch Processes

IFAC-PapersOnLine 2015年第23期48卷 294-301页

作者： De Prada, C. Cristea, S.P. Mazaeda, R. Dpt. of Systems Engineering and Automatic Control University of Valladolid Valladolid47011 Spain

This paper presents a methodology for the optimal operation of mixed continuous-batch processes based on a hierarchical decomposition of the problem: local dynamic optimizers perform the economic optimization of the batch units or continuous plants, while the upper layer deals with the scheduling of the batch units and the coordination of the flows and properties of sub-processes using a novel simplified model built with predictions from the lower level. The approach is illustrated with a case study from the sugar industry corresponding to the joint operation of the evaporation and crystallization sections operated to maximize production with minimum energy consumption. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Sugar industry Batch data processing Energy utilization Hierarchical systems Optimization Scheduling algorithms Continuous batch Continuous plant Economic optimization Hierarchical control Hierarchical decompositions Minimum energy consumption NMPC Optimal operation

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Gross error management in data reconciliation

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IFAC-PapersOnLine 2015年第8期48卷 623-628页

作者： M.J. Fuente G. Gutierrez E. Gomez D. Sarabia C. de Prada Dpt. of Systems Engineering and Automatic Control EII University of Valladolid c/ Real de Burgos 47011 Spain Dpt of Electromechanical Eng. University of Burgos Avda. Cantabria s/n 09006 Burgos

This paper reviews the problems associated to the presence of gross errors in data reconciliation problems as well as the main approaches to avoid their undesirable effects: detection and removal of the faulty measurements and minimization of their effect on the reconciled results by using robust estimators that modify the cost function. In the first case, Principal Component Analysis is used to detect the gross errors while, in the second, the Fair function is used. A combined approach is also presented that improves the PCA results. The methods are evaluated in a realistic large-scale problem with plant data corresponding to the hydrogen network of a petrol refinery.

关键词： Data reconciliation Gross error detection PCA robust estimators hydrogen networks

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Modifier-Adaptation methodology for RTO applied to Distillation Columns

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IFAC-PapersOnLine 2015年第8期48卷 223-228页

作者： T. Rodriguez-Blanco D. Sarabia D. Navia C. De Prada Dpt of Systems Engineering and Automatic Control University of Valladolid Doctor Mergelina s/n 47011 Valladolid Spain Dpt of Electromechanical Engineering University of Burgos Avda. Cantabria s/n 09006 Burgos Dpt. Ingenieria Quimica y Ambiental Universidad Tecnica Federico Santa Maria Santiago Chile

Optimal process operation is not always guaranteed due to the presence of significant uncertainty about the plant models that are used to make decisions, for example in Real time optimization, and also due to the differences between control architecture layers which operate on different time-scales and use different kind of models. Modifier adaptation is a methodology that achieves optimality despite the presence of uncertainty by using plant measurements. This paper presents the Nested modifier-adaptation methodology applied to the operation of distillation columns and the results obtained are compared with the previous modifier adaptation methodology using dual control optimization.

关键词： Real Time Optimization modifier-adaptation uncertainty distillation columns optimization problems

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Mixed modifier-adaptation for RTO in a continuous bioreactor 19

Mixed modifier-adaptation for RTO in a continuous bioreactor

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Navia, Daniel Gutiérrez, Gloria De Prada, César Dpt. Ingeniería Química y Ambiental Universidad Técnica Federico Santa María Santiago Chile Dpt. Systems Engineering and Automatic Control University of Valladolid c/Real de Burgos s/n Valladolid47011 Spain

ISBN: (纸本)9783902823625

This paper deals with the problem of optimizing the performance of a process using Real Time Optimization (RTO) considering the unavoidable errors in the process models. It implements a new architecture within the modifier-adaptation methodology, presenting a nested optimization problem with two layers. With this methodology, it is possible to find a point that satisfies the KKT conditions of a process using an inaccurate model in the optimization, without the need to estimate directly the experimental gradients of the process. The suggested methodology has been tested in a continuous bioreactor example that present a washout closer to the real optimum of the simulated process. The results show that the proposed methodology is able to find the optimum of the process smoothly, avoiding unstable operating points. © IFAC.

关键词： Bioreactors

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Mixed Modifier-Adaptation for RTO in a Continuous Bioreactor

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IFAC Proceedings Volumes 2014年第3期47卷 7635-7640页

作者： Daniel Navia Gloria Gutiérrez César de Prada Dpt. Ingeniería Química y Ambiental Universidad Técnica Federico Santa María Santiago Chile Dpt. Systems Engineering and Automatic Control University of Valladolidc/ Real de Burgos s/n 47011

关键词： Real time optimization Nested modifier-adaptation Modifier adaptation uncertainty

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Coordination of distributed model predictive controllers using price-driven coordination and sensitivity analysis

Coordination of distributed model predictive controllers usi...

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10th IFAC Symposium on Dynamics and control of Process systems, DYCOPS 2013

作者： Marti, Ruben Sarabia, Daniel Navia, Daniel De Prada, Cesar Dpt. Systems Engineering and Automatic Control University of Valladolid c/ Real de Burgos s/n 47011 Valladolid Spain Dpt. Chemical and Environmental Engineering Federico Santa Maria Technical University Santiago Chile

ISBN: (纸本)9783902823595

In this paper, a coordination control algorithm based on hierarchical scheme is presented to coordinate several non-linear model predictive controllers (NMPC) working in parallel, with an upper layer, where a price-driven coordination technique is used to drive the controllers in such a way that some global constraints are satisfied. To coordinate the lower layers, it is used a price-adjustment algorithm based on Newton's method, in which a reformulation of Fiacco's work is used in order to obtain the sensitivity analysis for a nonlinear system no matter the set of active constraints. The efficiency of the scheme is evaluated using a simulation of a four-tank benchmark. © IFAC.

关键词： Sensitivity analysis

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Nested modifier-adaptation for RTO in the Otto Williams Reactor

Nested modifier-adaptation for RTO in the Otto Williams Reac...

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10th IFAC Symposium on Dynamics and control of Process systems, DYCOPS 2013

ISBN: (纸本)9783902823595

This paper deals with the problem of uncertainty management in real time optimization (RTO). It proposes a new architecture in the modifier-adaptation methodology, reformulating the algorithm as a nested optimization problem with two layers. Using this approach, it is possible to find a point that satisfies the KKT conditions of a process using an inaccurate model, but unlike the original modifier method, with no need to estimate the experimental gradients of the process. The proposed method has been tested in the Otto Williams Reactor considering structural mismatches and perfect and noisy measurements. The results are compared with the previous modifier adaptation methodology using dual control optimization showing that the method finds a KKT point of the process with the advantage that no experimental gradient information is required and with less sensitivity to process noise. © IFAC.

关键词： Optimization

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Coordination of distributed model predictive controllers using price-driven coordination and sensitivity analysis

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IFAC Proceedings Volumes 2013年第32期46卷 215-220页

作者： Marti Ruben Sarabia Daniel Navia Daniel De Prada Cesar Dpt. Systems Engineering and Automatic Control University of Valladolid c/ Real de Burgos s/n 47011 Valladolid Spain Dpt. Chemical and Environmental Engineering Federico Santa Maria Technical University Santiago Chile

关键词： Dual composition control Predictive control Price-driven Coordination Sensitivity analysis

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Nested Modifier-Adaptation for RTO in the Otto Williams Reactor

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IFAC Proceedings Volumes 2013年第32期46卷 123-128页

关键词： Process optimization Real Time Optimization modifier-adaptation direct search uncertainty

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IQC analysis for time-delay reset control systems with first order reset elements

IQC analysis for time-delay reset control systems with first...

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IEEE Annual Conference on Decision and control

作者： Pedro Mercader Joaquin Carrasco Alfonso Banos Dpt. Informatica y Sistemas University of Murcia 30071 Murcia Spain Control Systems Centre School of Electrical and Electronic Engineering The University of Manchester Sackville Street Building Manchester M13 9PL UK

ISBN: (纸本)9781467357159

This work studies input-output stability of time-delay reset control systems, with first order reset elements (FORE). The results are derived by using integral quadratic constraint (IQC) framework. A new delay-dependent stability criterion is formulated in the form of a linear matrix inequalities (LMI) condition, using Kalman-Yakubovich-Popov (KYP) lemma. A numerical example is given, which illustrates the effectiveness of the new criterion.

关键词： input-output stability reset control Stability criteria output stability

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