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Non-intrusive Time-POD for Optimal control of a Fixed-Bed Reactor for CO 2 Methanation

IFAC-PapersOnLine 2021年第3期54卷 122-127页

作者： Jens Bremer Jan Heiland Peter Benner Kai Sundmacher Max Planck Institute Magdeburg Dpt. Process Systems Engineering Sandtorstraße 2 39106 Magdeburg Germany and Otto von Guericke University Magdeburg Chair for Process Systems Engineering Universitätsplatz 2 39106 Magdeburg (Sundmacher) Max Planck Institute Magdeburg Dpt. Computational Methods in Systems and Control Theory and Otto von Guericke University Magdeburg Fakultät für Mathematik

The optimization of a controlled process in a simulation without access to the model itself is a common scenario and very relevant to many chemical engineering applications. A general approach is to apply a black-box optimization algorithm to a parameterized control scheme. The success then depends on the quality of the parametrization that should be low-dimensional though rich enough to express the salient features. This work proposes using solution snapshots to extract dominant modes of the temporal dynamics of a process and use them for low-dimensional parametrizations of control functions. The approach is called proper orthogonal decomposition in time (time-POD). We provide theoretical reasoning and illustrate the performance for the optimal control of a methanation reactor.

关键词： Optimal control Model order reduction Proper orthogonal decomposition Fixed-bed reactor Carbon dioxide methanation Nonlinear programming Black-box model

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Energy-efficient Operation of a Medium Density Fibreboard Dryer Through Nonlinear MPC

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IFAC-PapersOnLine 2019年第1期52卷 400-405页

作者： Pedro Santos José L. Pitarch César de Prada Systems Engineering and Automatic Control DPT Sustainable Processes Institute Universidad de Valladolid. C/Real de Burgos s/n 47011 Valladolid Spain

Medium density fibreboard (MDF) is a popular and cheap wood-based panel for which an accurate control of the fiber humidity is key to get the desired product quality. The drying dynamics is nonlinear and spatially dependent, with strong interactions between air humidity, temperature, flow, type of wood and chips size. This translates in several complex phenomena, difficult to model accurately by first principles. The end aim in this work is implementing a model predictive control (MPC) for an industrial MDF dryer which reaches the desired fiber humidity by the most energy-efficient control path. To this aim, a suitable grey-box model of the dryer is developed first. Then, based on it, a moving-horizon estimator is used to infer the unmeasured process inputs and model parameters, which provides the required inputs to a tracking MPC with economic considerations. An efficient implementation of the optimization problems has been done using orthogonal collocation for model discretization and modern software for large-scale problems, including automatic differentiation and a sparse interior point solver. Previously to the actual implementation on-site, the proposed controller is tested in simulation with a detailed distributed-parameter model of a generic MDF dryer.

关键词： Process control Efficiency enhancement Semi-empirical models MPC MDF dryer

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Robust multi-objective scheduling in an evaporation network

Robust multi-objective scheduling in an evaporation network

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Mediterranean Conference on control and Automation (MED)

作者： Carlos G. Palacin José Luis Pitarch César de Prada Carlos A. Méndez Systems Engineering and Automatic Control DPT EII Universidad de Valladolid Valladolid Spain Center for Advanced Process Systems Engineering (CAPSE) INTEC (UNL-CONICET) Industrial Engineering DPT (FIQ-UNL) Santa Fe Argentina

ISBN: (纸本)9781509045341

Considering uncertainty in continuous production processes is key to compute short-time optimal schedules which can be trusted in practice. This paper proposes a two-step stochastic approach to the robust scheduling of several evaporation plants. This approach considers the possibility of reacting in the future once the uncertainty materializes. Each evaporator has different features (capacity, equipment, etc.) and the individual performance is affected by external factors and fouling effects. Moreover, a multi-objective analysis has been carried out to provide a decision support for the operator who must take the concrete decisions about load allocation and cleaning tasks along a time horizon. The problem has been solved by discretizing the time horizon and adapting the general-precedence method to deal with an unknown number of tasks. The nonlinear behavior of each plant is approximated by surrogate linear models obtained experimentally, providing thus solutions in acceptable time.

关键词： Cleaning Uncertainty Robustness Job shop scheduling Processor scheduling Computational modeling

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Productiveness and Real Time Prices in energy management for HVAC systems

Productiveness and Real Time Prices in energy management for...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Jose Aguero Francisco Rodriguez Maria del Mar Castilla Mario Pereira University of Almeria Agrifood Campus of International Excellence (ceiA3) Automatic Control Electronics and Robotics Research Group University of Seville. Dpt. of Automation and System Engineering

ISBN: (纸本)9781479902255

As people usually perform their daily activities inside buildings, it is very important to achieve a trade-off between users' comfort and energy costs derived from it. This paper presents two novel concepts within the framework of energy-consumption management: productiveness and utility. Therefore, the main objective of this work is to provide an optimal forecast of the power consumption for an office room, as a function of Real-Time Prices (RTP) and Day-Ahead Pricing (DAP). The use of real time energy prices allows a more efficient management of thermal loads networks. In this work, a comfort control system for an office building is developed based on a new interpretation of the concepts of productiveness and utility, and a prediction of energy prices for the following day. In order to test the performance of the proposed control approach, simulation results obtained in a characteristic room of the CDdI-CIESOL-ARFRISOL building are included and discussed in detail. The preliminary results show an energy consumption saving approximately around 12%.

关键词： High Voltage Alternating Current systems Energy management office occupancy energy consumption Energy costs office buildings Power consumption Prices Buildings Daily Activities COMFORT

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DPPL Hallway Tracker: Hospital Contact Tracing During the COVID-19 Pandemic 9

DPPL Hallway Tracker: Hospital Contact Tracing During the CO...

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9th Scholar's Yearly Symposium of Technology, engineering and Mathematics, SYSTEM 2023

作者： Marinoni, Christian Ponzi, Valerio Comminiello, Danilo Dpt. of Information Engineering Electronics and Telecommunications Sapienza University of Rome Via Eudossiana 18 Roma00184 Italy Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 Roma00185 Italy Institute for Systems Analysis and Computer Science Italian National Research Council Via dei Taurini 19 Roma00185 Italy

During the COVID-19 pandemic, the use of a people tracking system could have been crucial, particularly in sensitive environments, such as hospitals. DPPL Hallway Tracker is a framework that uses security camera footage to determine which rooms in a corridor a person has entered. It generates a database containing all the people identified and allows quick identification of potential cases of infection based on the time spent in a room and its maximum capacity. DPPL Hallway Tracker is structured in two phases: detection and re-identification. In the first phase, it exploits Mask RCNN to identify people and room doors. In the second one, it uses the deep association metric model from DeepSORT to re-identify a person as he leaves a room. © 2023 Copyright for this paper by its authors.

关键词： COVID-19

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Clock Synchronization Protocol Under Windows NT

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IFAC Proceedings Volumes 2000年第30期33卷 57-62页

作者： Armando D. Assandri Miguel A. Garcia Instituto de Automática - Universidad Nacional de San Juan Av. Libertador 1109 Oeste - J5400ARL San Juan - Argentina Dpt. of Systems Engineering and Automatic Control - University of Valladolid Prado de la Magdalena s/n - 47005 Valladolid - Spain

Synchronization problems are a well-known key topic in Distributed control systems. Most of the functionalities are implicitly based on the time consistency along the system. At the same time, general purpose operating systems, and Windows NT paradigmatically, have appeared in the control scene with undeniable strength. In fact, most of the SCADAs and industrial DCSs have migrated to this kind of platform. In this paper a clock synchronization protocol at driver level, based on the master/slave paradigm and using a dedicated and determinist channel, is presented and quantitative results are summarised. The time discrepancy results are applied to the clock correction at the slave by using a control algorithm. The given solution is based on a standard peripheral and so it can be considered as a benchmark result.

关键词： Clock sinchronization Drivers Protocols Distributed control Operating systems

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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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Optimal Coordination Of Batch Processes with Shared Resources

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IFAC-PapersOnLine 2019年第1期52卷 826-831页

作者： Carlos G. Palacín Cesar de Prada Dpt. Of Systems Engineering and Automatic Control Escuela de Ingenierías Industrials Sede Mergelina Universidad de Valladolid C/Real de Burgos s/n Valladolid 47011 SPAIN Institute of Sustainable Processes (IPS) University of Valladolid C/Real de Burgos s/n Valladolid 47011 SPAIN

This paper deals with the scheduling of batch processes that share common resources having consumption profiles that change over time and are subjected to some global constraints. In order to approach the problem, the formulation mixes three different time basis. Scheduling is performed in continuous time, but the description of the shared resources and the global constraints uses discrete values. The method is applied to a challenging problem in a tuna canning factory that mixes continuous flows of cans with the batch operation of a set of sterilizers sharing the steam supply line.

关键词： Process scheduling shared resources tuna cans sterilization process optimization continuous-batch process scheduling

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Analysis and Detection of Melanoma through Collective Intelligence with AI

Analysis and Detection of Melanoma through Collective Intell...

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Annual IEEE Symposium on Computer-Based Medical systems

作者： Enrique Fernández-Morales Carlos L. Sanchez-Bocanegra Rafael Pastor-Vargas José-Juan Pereyra-Rodriguez Juan M. Haut José Alberto Benítez-Andrades Communications and Control Systems Dpt. Computer Science Faculty UNED Madrid Spain Communications and Control Systems Dpt. Computer Science Faculty UNED Malaga Spain Virgen Del Rocio Hospital Universitario Seville Spain School of Tecnology University of Extremadura Cáceres Spain Dept. of Electric Systems and Automatics Engineering Universidad de León León Spain

ISBN: (数字)9798350384727

ISBN: (纸本)9798350384734

Cancer is a widespread global health problem, claiming millions of lives each year, and skin cancer represents a significant threat as it is one of the most common types. Early tumor detection via medical imaging is critical for effective treatment. Leveraging artificial intelligence, particularly novel models like Transformers, presents promising avenues for improved diagnosis. This paper explores the efficacy of a Collective Intelligence approach using AI in classifying cancerous and non-cancerous tumors, aiming to reduce classification errors and support clinical decision-making. We created five different configurations using various datasets to compare the results. The results show solid performance for the CI in the evaluated tasks, reaching up to 75.89% accuracy. The lack of images in certain classes significantly contributes to overfitting. It is suggested to explore data expansion strategies and improve consistency in image capture for future work.

关键词： Accuracy Melanoma Collective intelligence Image capture Transformers Solids Artificial intelligence

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Simplified Modelling and Validation of an Industrial Diesel Hydrodesulfurization Plant

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IFAC Proceedings Volumes 2010年第5期43卷 218-223页

作者： E. Gómez D. Sarabia S. Cristea G. Gutiérrez C.A. Méndez J.M. Sola E. Unzueta R. Gonzàlez C. de Prada 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 Petronor (Repsol – YPF) Edificio Muñatones c/San Martin 5 48550 Muskiz Vizcaya Spain

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.

关键词： hydrodesulfurization grey-box modelling parameter estimation decision support system process optimization simulation

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