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Publications (10 of 117) Show all publications
Schweiger, G., Nilsson, H., Schöggl, J. P., Birk, W. & Posch, A. (2020). Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms. Applied Mathematics and Computation, 365, Article ID 124713.
Open this publication in new window or tab >>Modeling and simulation of large-scale systems: A systematic comparison of modeling paradigms
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2020 (English)In: Applied Mathematics and Computation, ISSN 0096-3003, E-ISSN 1873-5649, Vol. 365, article id 124713Article, review/survey (Refereed) Published
Abstract [en]

A trend across most areas where simulation-driven development is used is the ever in- creasing size and complexity of the systems under consideration, pushing established methods of modeling and simulation towards their limits. This paper complements existing surveys on large-scale modeling and simulation of physical systems by conducting expert surveys. We conducted a two-stage empirical survey in order to investigate research needs, current challenges as well as promising modeling and simulation paradigms. Furthermore, we applied the analytic hierarchy process method to prioritise the strengths and weak- ness of different modeling paradigms. The results of this study show that experts consider acausal modeling techniques to be suitable for modeling large scale systems, while causal techniques are considered less suitable.

Place, publisher, year, edition, pages
Elsevier, 2020
Keywords
Modeling, Simulation, Physical modeling, Large-scale systems
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75984 (URN)10.1016/j.amc.2019.124713 (DOI)000488954600001 ()
Note

Validerad;2019;Nivå 2;2019-09-18 (johcin)

Available from: 2019-09-13 Created: 2019-09-13 Last updated: 2019-10-28Bibliographically approved
Lucchese, R. (2019). A study of fine and coarse actuation capabilities in air-cooled server racks: control strategies and cost analysis. IEEE Transactions on Control Systems Technology
Open this publication in new window or tab >>A study of fine and coarse actuation capabilities in air-cooled server racks: control strategies and cost analysis
2019 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865Article in journal (Refereed) Submitted
Keywords
Data center thermal management, Server thermal models, Controlled air-cooling
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75914 (URN)
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-18
Lucchese, R. (2019). Computing the allowable uncertainty of sparse control configurations. Journal of Process Control
Open this publication in new window or tab >>Computing the allowable uncertainty of sparse control configurations
2019 (English)In: Journal of Process Control, ISSN 0959-1524, E-ISSN 1873-2771Article in journal (Refereed) Submitted
Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
control configuration selection, plant uncertainty, data center flow provisioning
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75912 (URN)
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-18
Birk, W., Atta, K. & Udén, F. (2019). Improving District Heating System Operation through Control Configuration Selection and Adaptive Control. In: 2019 18th European Control Conference (ECC): . Paper presented at 2019 18th European Control Conference (ECC) (pp. 2944-2949).
Open this publication in new window or tab >>Improving District Heating System Operation through Control Configuration Selection and Adaptive Control
2019 (English)In: 2019 18th European Control Conference (ECC), 2019, p. 2944-2949Conference paper, Published paper (Refereed)
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75938 (URN)
Conference
2019 18th European Control Conference (ECC)
Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-09-10
Lucchese, R. & Birk, W. (2019). On the allowable uncertainty in control configuration selection. In: : . Paper presented at Nordic Process Control Workshop.
Open this publication in new window or tab >>On the allowable uncertainty in control configuration selection
2019 (English)Conference paper, Poster (with or without abstract) (Other academic)
Keywords
Robust control configuration selection, Relative Gain Array
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75931 (URN)
Conference
Nordic Process Control Workshop
Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-09
Lindström, J., Lejon, E., Kyösti, P., Mecella, M., Heutelbeck, D., Hemmje, M., . . . Gunnarsson, B. (2019). Towards intelligent and sustainable production systems with a zero-defect manufacturing approach in an Industry4.0 context. In: Edited by Peter Butala, Edvard Govekar, Rok Vrabič (Ed.), Procedia CIRP, vol 81: . Paper presented at 52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019 (pp. 880-885). Elsevier, 81
Open this publication in new window or tab >>Towards intelligent and sustainable production systems with a zero-defect manufacturing approach in an Industry4.0 context
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2019 (English)In: Procedia CIRP, vol 81 / [ed] Edited by Peter Butala, Edvard Govekar, Rok Vrabič, Elsevier, 2019, Vol. 81, p. 880-885Conference paper, Published paper (Refereed)
Abstract [en]

The paper addresses intelligent and sustainable production achieved through combination and integration of online predictive maintenance, monitoring of process parameters and continuous quality control of both input materials and output from the process. This enables production systems, within both manufacturing and process industries, to move towards zero-defect manufacturing. Such a zero-defect manufacturing approach allows for earlier identification of problems or issues, which will or already negatively affect the output. The paper outlines the first part of the second cycle of an action research effort at Gestamp HardTech AB in Sweden, whose objective is to keep its position as a world-leading provider of press-hardened vehicle parts. In order to fully implement the zero-defect manufacturing approach, 4-6 action research cycles are expected to be needed in order to iteratively refine the approach. During the first cycle, various methods and solutions for some of the individual issues/problems have been conceptualized, realized and initially tested. The selected design criteria for the action research efforts were: simplicity, low cost, robustness, high-quality output and future-proofing. The result from the research in the second cycle so far is an action plan for the technical change and a set of challenges/problems which need additional investigation.

Place, publisher, year, edition, pages
Elsevier, 2019
Series
Procedia CIRP, vol 81, ISSN 2212-8271
Keywords
continuous quality controlI, Industry4.0, intelligent, online predictive maintenance, production, sustainable, zero-defect manufacturing
National Category
Engineering and Technology Information Systems, Social aspects Control Engineering Applied Mechanics
Research subject
Information systems; Experimental Mechanics; Control Engineering
Identifiers
urn:nbn:se:ltu:diva-75114 (URN)10.1016/j.procir.2019.03.218 (DOI)
Conference
52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019
Available from: 2019-06-28 Created: 2019-06-28 Last updated: 2019-07-08Bibliographically approved
Loureiro, T., Rämä, M., Sterling, R., Cozzini, M., Vinyals, M., Descamps, M., . . . Geyer, P. (2018). District Energy Systems: A Collaborative Exchange of Results on Planning, Operation and Modelling for Energy Efficiency. In: : . Paper presented at Sustainable Places 2018 (SP 2018), 27-29 June 2018, Aix-les Bains, France (pp. 1127-1131). Basel, Switzerland: MDPI, 2(15)
Open this publication in new window or tab >>District Energy Systems: A Collaborative Exchange of Results on Planning, Operation and Modelling for Energy Efficiency
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2018 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Workshop organized by INDIGO project as a collaborative activity among EU funded projects in the area of District Heating and Cooling. The objective of the workshop was twofold: (1) to create a cluster of European funded projects working in the area of District Energy Systems; and (2) to create a networking opportunity in which to share experiences on the results and difficulties of the researches, and to identify synergies.

Place, publisher, year, edition, pages
Basel, Switzerland: MDPI, 2018. p. 5
Keywords
district energy systems, district heating and cooling, energy efficiency, planning, modelling
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-71415 (URN)10.3390/proceedings2151127 (DOI)
Conference
Sustainable Places 2018 (SP 2018), 27-29 June 2018, Aix-les Bains, France
Projects
OPTi
Available from: 2018-11-01 Created: 2018-11-01 Last updated: 2018-11-06Bibliographically approved
Castaño Arranz, M., Birk, W. & Kadhim, A. (2018). On Guided and Automatic Control Configuration Selection. In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): . Paper presented at 22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA), Limassol, Cyprus, 12-15 September 2017. Piscataway, Nj: Institute of Electrical and Electronics Engineers (IEEE), F134116
Open this publication in new window or tab >>On Guided and Automatic Control Configuration Selection
2018 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Piscataway, Nj: Institute of Electrical and Electronics Engineers (IEEE), 2018, Vol. F134116Conference paper, Published paper (Refereed)
Abstract [en]

This paper discusses the guided and automatic control configuration selection in large scale complex systems. Due to the trend of increasesd level of automation and connectedness which is promoted by the Industry 4.0 strategy and supported by technologies relating to cyber-physical systems and the industrial internet of things, selecting appropriate control strategies becomes increasingly important and complex. This is especially important as a control strategies will limit the achievable performance of the process system, and there are  trade-offs between complexity of the control strategies, achievable performance, vulnerability and maintainability.

The paper reviews the state of the art of methodologies that support the practitioners in taking decisions on control strategies, where two main approaches are considered, the guided one and a fully automatic one. It is shown how both approached can be conducted and examples are used to clarify the selection process.

Abstract [en]

Selecting appropriate control configurations becomes increasingly important and complex. This is due to the trend of increased level of automation and connectedness which is promoted by Industry 4.0 and supported by technologies relating to cyber-physical systems and the industrial internet of things. In this scenario, there are trade-offs between simplicity of the control configurations, achievable performance, vulnerability and maintainability. The paper reviews different state of the art tools before integrating them in guidelines and in automatic methods that support the practitioners in the design on control configurations.

Place, publisher, year, edition, pages
Piscataway, Nj: Institute of Electrical and Electronics Engineers (IEEE), 2018
Series
IEEE International Conference on Emerging Technologies and Factory Automation-ETFA, ISSN 1946-0740
Keywords
automatic control configuration selection, decentralized control, interaction measures, sparse control
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-63153 (URN)10.1109/ETFA.2017.8247700 (DOI)000427812000135 ()2-s2.0-85044482354 (Scopus ID)978-1-5090-6505-9 (ISBN)
Conference
22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA), Limassol, Cyprus, 12-15 September 2017
Projects
OPTi Optimisation of District Heating Cooling systems, OPTiIntegrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIREWARP
Funder
VINNOVAEU, Horizon 2020, 649796EU, Horizon 2020, 636834
Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2018-05-29Bibliographically approved
Castaño Arranz, M., Birk, W. & Nikolakopoulos, G. (2017). A Survey on Control Configuration Selection and New Challenges in Relation to Wireless Sensor and Actuator Networks. Paper presented at 20th IFAC World Congress, Toulouse, France, 9-14 July 2017. IFAC-PapersOnLine, 50(1), 8810-8825
Open this publication in new window or tab >>A Survey on Control Configuration Selection and New Challenges in Relation to Wireless Sensor and Actuator Networks
2017 (English)In: IFAC-PapersOnLine, ISSN 1045-0823, E-ISSN 1797-318X, Vol. 50, no 1, p. 8810-8825Article in journal (Refereed) Published
Abstract [en]

This survey on Control Configuration Selection (CCS) includes methods based on relative gains, gramian-based interaction measures, methods based on optimization schemes, plantwide control, and methods for the reconfiguration of control systems. The CCS problem is discussed, and a set of desirable properties of a CCS method are defined. Open questions and research tracks are discussed, with the focus on new challenges in relation to the emerging area of Wireless Sensors and Actuator Networks.

Place, publisher, year, edition, pages
Elsevier, 2017
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-66198 (URN)10.1016/j.ifacol.2017.08.1536 (DOI)000423964900456 ()
Conference
20th IFAC World Congress, Toulouse, France, 9-14 July 2017
Projects
Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIREOPTi Optimisation of District Heating Cooling systems, OPTi
Funder
EU, Horizon 2020, 649796EU, Horizon 2020, 636834VINNOVA
Note

Konferensartikel i tidskrift

Available from: 2017-10-19 Created: 2017-10-19 Last updated: 2018-05-29Bibliographically approved
Kadhim, A., Castaño Arranz, M. & Birk, W. (2017). Automated Control Configuration Selection Considering System Uncertainties. Industrial & Engineering Chemistry Research, 56(12), 3347-3359
Open this publication in new window or tab >>Automated Control Configuration Selection Considering System Uncertainties
2017 (English)In: Industrial & Engineering Chemistry Research, ISSN 0888-5885, E-ISSN 1520-5045, Vol. 56, no 12, p. 3347-3359Article in journal (Refereed) Published
Abstract [en]

This paper proposes an automated pairing approach for configuration selection of decentralized controllers which considers system uncertainties. Following the Relative Interaction Array (RIA) pairing rules, the optimal control configuration, i.e. the configuration that fits best the pairing rules, is obtained automatically by formulating the control configuration selection problem as an Assignment Problem (AP). In this AP, the associated costs related to each input-output pairing are given by the RIA coefficients. The Push-Pull algorithm is used to solve the AP for the nominal system and to obtain the set of costs for which the resulting configuration remains optimal, also called the perturbation set. The introduction of uncertainty bounds on the RIA-based costs enables the testing of the possible violation of the optimality conditions. Examples to illustrate the proposed approach for a 3×3 system and 4×4 gasifier plant are given.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2017
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
urn:nbn:se:ltu:diva-62421 (URN)10.1021/acs.iecr.6b04035 (DOI)000398248000021 ()2-s2.0-85019961627 (Scopus ID)
Projects
OPTi Optimisation of District Heating Cooling systems, OPTiIntegrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIRE
Funder
EU, Horizon 2020, 649796EU, Horizon 2020, 636834VINNOVA
Note

Validerad; 2017; Nivå 2; 2017-03-29 (rokbeg)

Available from: 2017-03-10 Created: 2017-03-10 Last updated: 2018-12-14Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-5888-8626

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