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2023 International Conference on the Built Environment in Transition, CISBAT 2023

作者： Brandes, M. Cai, H. Vivian, J. Croci, L. Heer, P. Smith, R. Urban Energy Systems Laboratory Empa Dübendorf Switzerland Dept. of Industrial Engineering University of Padova Padua Italy Dept. of Power System Development Ricerca Sistema Energetico SpA Milan Italy Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zurich Switzerland

Heat pumps can play a crucial role in the European energy strategy 2050, which aims to achieve net-zero greenhouse gas emissions. When coupled with thermal energy storage and integrated with advanced control strategies, heat pump operation can be optimized to reduce carbon footprint and respond to the needs of system operators. However, to scale in a multitude of buildings, the transferability of the modeling into heterogeneous systems is crucial. In this paper, two different interpretable linear models, a hybrid (grey-box) and a fully data-driven (black-box) model are investigated. Specifically, two regression-based identification methods (SINDYc and DMDc) are used for dynamic models and the LASSO regression is used for static models. The transferability of the approach is evaluated using two real-world facilities with heterogeneous sizing and configuration. The results show a similar simulation performance for both cases with a maximum normalized RMSE of 0.41 and 0.60, respectively. This confirms the transferability of the approach that is necessary for large-scale implementation. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Carbon footprint

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Energy Demand Management in an Industrial Manufacturing Plant using MPC and Neurofuzzy Models

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IFAC-PapersOnLine 2023年第2期56卷 8738-8743页

作者： Javier Gómez William D. Chicaiza Juan M. Escaño Carlos Bordons Dept. System Engineering and Automatic Control Universidad de Sevilla Spain ENGREEN - Laboratory of Engineering for Energy and Environmental Sustainability Universidad de Sevilla Spain

An MPC controller is proposed to maximise the use of renewable energy in a manufacturing process. The strategy has been applied in a manufacturing system which has several machines, renewable generation resources, a combined heat and power (CHP) generator for power production, and a battery bank for energy storage. The work aims to maximise the use of renewable energy sources in this process, also taking into account the price of the electricity market, to reduce the cost. The use of neurofuzzy models for the prediction of the energy produced by renewable generators allows a dynamic prediction, using input values obtained from typical forecasting variables (wind speed, global irradiance, etc.).

关键词： Manufacturing processes Model Predictive control Neurofuzzy systems Energy management systems Genetic algorithms Intelligent control

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Multi-robot Motion Planning under MITL Specifications based on Time Petri Nets

Multi-robot Motion Planning under MITL Specifications based ...

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European control Conference (ECC)

作者： Sofia Hustiu Dimos V. Dimarogonas Cristian Mahulea Marius Kloetzer Dept. of Automatic Control and Applied Informatics Technical University ”Gheorghe Asachi” of Iasi Romania Division of Decision and Control System KTH Royal Institute of Technology Stockholm Sweden Aragón Institute of Engineering Research (I3A) University of Zaragoza Maria de Luna 1 Zaragoza Spain

This paper proposes a high-level path planning strategy under Time Petri net (TPN) formalism for a multiagent system, which is subject to Metric Interval Temporal Logic (MITL) specifications. The work aims to design a scalable model with respect to the number of agents, as the MITL formula requires multiple agents to ensure similar tasks. The obtained model is denoted Composed Time Petri net and it couples two TPN representations assigned to the motion of the agents, respectively to the MITL specification. The planning approach is based on model-checking methods and the results are evaluated on a case study applied in robotics industry.

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Computational characterization of a Gurney flap on a DU91(2)W250 airfoil

Computational characterization of a Gurney flap on a DU91(2)...

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2018 International Conference on Materials and Energy, ICOME 2018

作者： Fernandez-Gamiz, Unai Errasti, Iñigo Zulueta, Ekaitz Lopez Guede, José Manuel Boyano, Ana Nuclear Eng. and Fluid Mechanics Dept. Vitoria01006 Spain Automatic Control and System Engineering Dept. Vitoria01006 Spain Mechanical Engineering Dept. Vitoria01006 Spain

The considerable increase of wind turbine rotor size and weight in the last years has made impossible to control as they were controlled 20 years ago. The cost of energy is an essential role to maintain this type of energy as a viable alternative in economic terms with traditional or other renewable energies. Through the last decades many different flow control devices have been developed. Most of them were shaped for aeronautical issues and this was its first research application. Currently researchers are working to optimize and introduce these types of devices in multi megawatt wind turbines. Gurney flap (GF) is a vane perpendicular to the airfoil surface with a size between 0.1 and 3% of the airfoil chord length, placed in the lower or upper side of the airfoil close to the trailing edge of the airfoil. When GFs are appropriately designed, they increase the total lift of the airfoil while reducing the drag. Thanks to the implementation of the of this flow control device the efficiency of a wind turbine improves, which results on an increase in the power generation. © The Authors, published by EDP Sciences, 2020.

关键词： Airfoils

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Fuzzy based state observer of a solar trough field 30

Fuzzy based state observer of a solar trough field

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30th Irish Signals and systems Conference, ISSC 2019

作者： Sanchez, Adolfo J. Escano, Juan Manuel Bordons, Carlos Camacho, Eduardo F. Universidad de Sevilla Dept. of System Engineering and Automatic Control Camino de los Descubrimientos s/n Sevilla41092 Spain

ISBN: (纸本)9781728128009

The estimation of unobservable states of a process is important when using control techniques that assume, said a priori, known values. The controllers based on the state space present good behavior and efficiency, even when the dynamics of the process are non-linear. One of the processes with non-linear dynamics and in which not all the states are observable is the case of parabolic trough solar plants. In this work an observer is presented, based on a fuzzy inference system, for the estimation of the temperature profiles of the loops that make up the solar field. This is a English translation of an earlier work presented in the XXXIX Spanish workshop in automatic control [15]. © 2019 IEEE.

关键词： Model predictive control

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Supporting Product Oriented Manufacturing: a Model Driven and Agent based Approach

Supporting Product Oriented Manufacturing: a Model Driven an...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Mikel López Jon Martín Unai Gangoiti Aintzane Armentia Elisabet Estévez Marga Marcos Dept. of Automatic Control and System Engineering ETSI Bilbao (UPV/EHU) Bilbao Spain Dept. Electronic and Automatic Engineering EPS de Jaén University of Jaén Jaén Spain

Product oriented manufacturing is aligned with one of the Industry 4.0 trends consisting of integrating all production systems. This implies shifting from a traditional view of manufacturing processes focused on production line in order to reduce costs, to a more flexible and customized product manufacturing. On the other hand, Multi Agent systems (MAS) have been proved to be a suitable way to fulfill these requirements. However, a key aspect of the use of novel technologies is to offer methodologies and tools for supporting the implementation of such systems. In this sense, this paper uses Model Driven engineering and MAS technology to propose an architecture that is able to launch and execute a manufacturing execution plan. It focuses on the information models managed by architecture agents that can be customized to particular manufacturing plants as well as on the definition of agent templates.

关键词： Manufacturing processes Tools Ontologies systems engineering and theory Industries

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A Tool Suite for automatic Generation of Modular Machine Automation Projects

A Tool Suite for Automatic Generation of Modular Machine Aut...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Aintzane Armentia Elisabet Estévez Darío Orive Marga Marcos Dept. of Automatic Control and System Engineering ETSI Bilbao (UPV/EHU) Bilbao Spain EPS de Jaén University of Jaén Jaén Spain

Global competition has resulted in changes on product demand which have to be managed by current manufacturing systems. In this context, modularity seems to be a suitable solution to provide manufacturing systems with the flexibility required to adapt to demand fluctuations when they occur, maintaining thus competitiveness and productivity. In concrete, machine modularity allows modifying a machine structure but it should be accomplished easily and rapidly. The current work proposes a model-driven methodology that allows modular machine definition and the automatic generation of the corresponding automation project, including the machine hardware configuration and its control software. It is based on the use of eXtensible Markup Language (XML) format and technologies for both model definition and code generation. The methodology has been implemented as a tool suite whose proof of concept has been developed for the particular case of the Siemens Totally Integrated Automation Portal (TIA Portal) PLC programming tool.

关键词： Automation Tools XML Portals Hardware Software Programming

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Development of Constrained Predictive Functional control using Laguerre Function Based Prediction

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IFAC-PapersOnLine 2017年第1期50卷 10705-10710页

作者： Abdullah M. Rossiter J.A. Haber R. Department of Automatic Control and System Engineering University of Sheffield Mappin StreetS1 3JD United Kingdom Dept. of Mech. Engin. International Islamic University Malaysia Institute of Process Engineering and Plant Design Cologne University of Applied Sciences Köln D-50679 Germany

This work presents a novel constraint handling strategy for Predictive Functional control (PFC). First, to improve prediction consistency, the constant input assumption of nominal PFC approaches is replaced with Laguerre based prediction. This substitution improves the effectiveness of using a constrained solution to prevent long-term constraint violations. Secondly, for state constraints, a simpler single regulator approach is proposed instead of switching between regulators, an approach common in the PFC literature. Simulation results verify that the proposed method manages the constraints better than the traditional approach. Moreover, despite all the modifications, the controller formulation and framework remain simple and straightforward which thus are in line with the key ethos of PFC. © 2017

关键词： Constrained PFC Effective Constraint Technique Predictive control

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Maintaining high level information security in enterprises using event correlation

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2016年第1 1期78 78卷 73-86页

作者： VlǍdescu, Marius Sgârciu, Valentin Dept. of Automatic Control and System Engineering University Politehnica of Bucharest Romania

This paper presents measures for ensuring high level information security for enterprise systems. These mechanisms are based on the correlation of the events with risk factor, collected from the security systems deployed in the company's infrastructure. The role of event correlation systems is to detect real time security threats and to notify security personnel about those breaches, in order to take measures to reduce the impact of the threat. Our personal contributions in this field consist in creating correlation rules meant to ensure enterprise sensitive data confidentiality inside the company, mostly compromised by employees, and to secure industrial processes targeted by worms. We are also extending the functionality of the event correlation systems from alerting capabilities to real time response capabilities. Also, we conceived additional measures to secure the correlator, which involve approval workflows and encryption techniques.

关键词： Cryptography

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A model-based failure recovery approach for automated production systems combining SysML and industrial standards

A model-based failure recovery approach for automated produc...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Patrick Bareiß Daniel Schütz Rafael Priego Marga Marcos Birgit Vogel-Heuser Technische Universitat Munchen Munchen Bayern DE Dept. of Automatic Control and System Engineering Basque Country University (UPV/EHU) Automation and Information Systems Technical University Munich

ISBN: (纸本)9781509013159

This work presents a failure recovery approach for foreseen failures of automated production systems to minimize the downtime of a system due to stoppages. In contrast to the common practice of implementing field control software, we suggest the use of operation states with pre- and postconditions. A set of operation states forms an operation state machine, whereby several operation state machines are used in a hierarchical manner in order to control and observe the process. The meta-model of the systems Modeling Language (SysML) is extended to combine operation state machines with OMAC State Machines. By dividing the failure detection from the process controller the necessary flexibility is given to adapt this approach to different packaging machines.

关键词： Unified modeling language Standards Automation Adaptation models Manufacturing systems Software Industries

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