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Mixed Modifier-Adaptation for RTO in a Continuous Bioreactor

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

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.

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

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 47011 Valladolid Spain

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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Implementing optimal hydrogen networks management

Implementing optimal hydrogen networks management

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8th International Symposium on Advanced control of Chemical Processes, ADCHEM 2012

作者： De Prada, C. Gutierrez, G. Sarabia, D. Gómez, E. Méndez, C.A. Sola, J.M. González, R. Dpt. of Systems Engineering and Automatic Control Faculty of Sciences University of Valladolid Real de Burgos 47011 Spain INTEC UNL- CONICET Güemes 3450-3000 Santa Fe Argentina Repsol - YPF Edificio Muñatones c/ San Martín 5 48550 Muskiz Vizcaya Spain

ISBN: (纸本)9783902823052

This paper describes an approach to optimal management of hydrogen networks in refineries, focusing on the problems of reconfiguration that appears when, due to plant failures, the production of the hydrogen generating units suddenly decreases. The problem is formulated in terms of optimization as a MINLP one. Also, guidelines to the implementation of the optimum are presented with the aim of providing a practical solution to the inherent uncertainly and changing dynamics associated to the process. © 2012 IFAC.

关键词： Optimization

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Implementing optimal hydrogen networks management

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IFAC Proceedings Volumes 2012年第15期45卷 114-119页

作者： C. de Prada G. Gutierrez D. Sarabia E. Gómez C.A. Méndez J.M. Sola R. González Dpt. of Systems Engineering and Automatic Control Faculty of Sciences University of Valladolid c/ Real de Burgos 47011 Spain INTEC (UNL- CONICET) Güemes 3450-3000 Santa Fe Argentina (Repsol – YPF) Edificio Muñatones c/ San Martín 5 48550 Muskiz Vizcaya Spain

关键词： Hydrogen distribution networks RTO MINLP optimization process control data reconciliation

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LMIs-based coordinate descent method for solving BMIs in control design

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IFAC Proceedings Volumes 2011年第1期44卷 10180-10186页

作者： E. Simon P. R-Ayerbe C. Stoica D. Dumur V. Wertz Université Catholique de Louvain ICTEAM Institute Mathematical Engineering Dpt. 4 avenue Georges Lemaitre 1348 Louvain-la-Neuve Belgium SUPELEC Systems Sciences (E3S) Automatic Control Department 3 rue Joliot Curie 91192 Gif-sur-Yvette cedex France

Abstract This work investigates the topic of solving Bilinear Matrix Inequalities (BMIs) problems in the optimal control design field, using successive resolutions of properly defined Linear Matrix Inequalities (LMIs). This technique can be described as an ‘LMI-based coordinate descent method'. Indeed the original (BMI) problem is solved independently for each coordinate at each step using a LMI optimization, while the other coordinate is fixed. No method based on this idea has been formally proved to converge to the global optimum of the BMI problem, or a local optimum in general. This will be discussed using relevant results both from the mathematical programming and control design points of view. This discussion supports the algorithm proposed here which, thanks to a particular change of variables, leads to sequences of improving solutions. Also emphasized is a second improvement important to avoid in practice early convergence to suboptimal solutions instead of local optima. The control framework used is that of optimal output feedback design for linear time invariant (LTI) systems. An example using a random plant is drawn to illustrate the typical effectiveness of the algorithm.

关键词： Optimal control design BMIs LMIs Output-feedback LTI system

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Selection of time-after-injection in bone scanning using compartmental observers

Selection of time-after-injection in bone scanning using com...

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作者： Tadeo, Fernando Rami, Mustapha Ait Dpt. of Systems Engineering and Automatic Control University of Valladolid 47005 Valladolid Spain

ISBN: (纸本)9789881701299

An approach to assist the determination of the best time-after-injection for taking an scintigram in bone scanning is proposed. More precisely, a technique is discussed to estimate the evolution of the portions, in different compartments of the body, of the injected dose using a model of the radionuclide distribution dynamics, the available measurements and information on variations of the parameters. At each time, the possible range of variation of these unmeasured states is evaluated, and from this the expected evolution of the contrast of the image is obtained. This makes it possible to predict the best time for taking the image. To show the applicability, a practical example is provided.

关键词： Scanning

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Simplified modelling and validation of an industrial diesel hydrodesulfurization plant

Simplified modelling and validation of an industrial diesel ...

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9th International Symposium on Dynamics and control of Process systems, DYCOPS 2010

作者： Gómez, E. Sarabia, D. Cristea, S. Gutiérrez, G. Méndez, C.A. Sola, J.M. Unzueta, E. González, R. De Prada, C. Dpt. of Systems Engineering and Automatic Control Faculty of Sciences University of Valladolid c/ Real de Burgos 47011 Spain Güemes 3450-3000 Santa Fe Argentina Edificio Muñatones c/ San Martín 5 48550 Muskiz Vizcaya Spain

ISBN: (纸本)9783902661692

A dynamic reduced model of an industrial diesel hydrodesulfurization plant has been developed and validated against plant data. Its purpose is the prediction of the rate of hydrogen consumption, as well as some other critical variables, as a function of the hydrocarbon feed, so as to be integrated in a decision support system aimed at the operation optimization in real time of the refinery hydrogen network. A model which combines first physical-chemical principles with black box elements is proposed. Model structure and calibration procedure are described, and validation results are presented. © 2009 IFAC.

关键词： Optimization

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