Towards Reuse of Synchronization Algorithms in Co-simulation Frameworks

Thule, Casper; Palmieri, Maurizio; Gomes, Cláudio; Lausdahl, Kenneth; Macedo, Hugo Daniel; Battle, Nick; Larsen, Peter Gorm

doi:10.1007/978-3-030-57506-9_5

Cited by 11 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our proposed algorithm, implemented in the MaestroV2 framework (Thule et al 2020) 2 , always takes a predictable amount of wall clock time to advance in simulated time. The disadvantage is that there is a minimum bound on the error because changing the order does not replace the benefits of adjusting the communication step size.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

The Effect and Selection of Solution Sequence in Co-Simulation

Inci

Croes

Desmet

et al. 2021

2021 Annual Modeling and Simulation Conference (ANNSIM)

Self Cite

View full text Add to dashboard Cite

In non-iterative serial co-simulation, the solution sequence of the systems is ordered either ad-hoc or based on the solution priorities. The selection of the priorities determines which systems approximate the upcoming inputs from connected systems. This input estimation causes an error on the time integration of the states. This article discusses indicators to estimate the extent of input estimation contribution on the overall state calculation error and addresses to the question if the solution sequence has an influence on the state evolution. Moreover, a temporal analysis of this effect is studied to predict when to flip the sequence at an interface between two systems on a linear numerical example. In conclusion, an adaptive algorithm which switches the co-simulation sequence run-time based on the input estimation accuracy is proposed and validated with a parameter study.

show abstract

Section: Conclusion and Discussionmentioning

confidence: 99%

The Effect and Selection of Solution Sequence in Co-Simulation

Inci

Croes

Desmet

et al. 2021

2021 Annual Modeling and Simulation Conference (ANNSIM)

Self Cite

View full text Add to dashboard Cite

show abstract

“…The introductiono ff rameworksh as become more and more popular to allowe asy "plugand-play" co-simulation. However, manyf rameworksh avea gain been designed motivated by as pecific problem or area of application, such as building simulation (Wetter 2011), automotives ystems (Zhang et al 2014) or traffic (Ferreirae ta l. 2008) and are limited to the co-simulation of certain tools,leaving gaps aimed to be filled by further developments.W hat is more is that these seemingly simple"enablers" of co-simulation bear the risk that systems are not properly checkedf or stability properties butr ashly coupled, which can be amended by notwithstandingm indful consideration and inspection of everyu ser.M anyr ecent, independent developments (Ben Khaled et al 2014;Galtier et al 2015;Thule et al 2019b;Wang et al 2017) respect the FMI standard. Awais (2015) even utilizes the HLA as well as the FMI, ford etails see below.…”

Section: Frameworkmentioning

confidence: 99%

“…The main focus of this work has been laid on the investigation of hierarchical co-simulation approaches.T hese,a se videnced by the results from Chapters 3a nd 5, have up to now barely been mentioned in the literature (cf.t he acknowledgement of co-simulations within a co-simulation by Thule et al (2019b) and Wang et al (2003)) and, even more importantly, not been investigated with regard to consistency or stability (confer Section 6.1). As explained at the beginning of Chapter 6, hierarchical approaches in general are no novelty in the area of modeling and simulation, see f.i.…”

Section: Summaryand Conclusionmentioning

confidence: 99%

“…Thule et al (2019b) propose an architecture forthe design of amodular co-simulation framework which is extendible and can integrate existing co-simulation approaches. Theyc laim that aco-simulation framework should relieve users from having to establish communication with the minions or configuring the master algorithm and the minions forreliable results.A s the first part(establishing communication) is mostly covered by using the FMI standard, they…”

mentioning

confidence: 99%

See 1 more Smart Citation

Cooperative and Multirate Simulation: Analysis, Classification and New Hierarchical Approaches

Hafner¹

2022

View full text Add to dashboard Cite

In dieser Dissertation werden hierarchische Co-Simulationsmethoden vorgestellt und hinsichtlich Genauigkeit, Fehlerakkumulation und Stabilität untersucht. Co-Simulation bezeichnet die Kopplung vonz weio der mehr Simulationen, die sich in dem verwendeten Simulationstool, Lösungsalgorithmus oder zumindest der Solverschrittweite unterscheiden. Methoden dieser Arthaben sich mittlerweile als unentbehrliches Instrument zur gesamtheitlichen Abbildung komplexerSysteme aus unterschiedlichen Anwendungsgebieten etabliert. Der vielseitige Ursprung und das breite Spektrum an wissenschaftlichen Lösungsansätzen für Problemstellungen dieser Arthaben dazu geführt, dass einige Begriffe unterschiedlich aufgefasst oder äquivalente Methoden verschieden bezeichnet werden. Dieser Umstand gab den Anstoß für die Zusammenführung, Klärung und Vereinheitlichung des Vokabulars in diesem Forschungsbereich zu Beginn dieser Arbeit. Anschließend folgt ein Überblicküber gängige Multirate-und Co-Simulationsmethoden, begonnen bei Verfahren für gewöhnliche Differentialgleichungen über gekoppelte differentialalgebraische Gleichungssysteme bis hin zur Zusammenführung starkunterschiedlicher Ansätze, wie etwad iskret und kontinuierlich dargestellten Te ilsystemen. Zudem wurde eine empirische Studie mit über fünfzig Te ilnehmenden in Zusammenarbeit mit Kollegen nationaler und internationaler Forschungsgruppen ausgearbeitet und durchgeführt,deren Ergebnisse gängige Standards,H erausforderungen und Forschungsbedarf im Bereich der Co-Simulation aufzeigen. Ob ihrer Vielfalt können Multirate-und Co-Simulationsmethoden anhand unterschiedlicher Gesichtspunkte strukturiertwerden. Diese werden gleichzeitig mit der Klassifikation ausgewählter Literatur ebenfalls in dieser Arbeit präsentiert. Ein Nebenprodukt letzterer stellt unter anderem das Netzwerka nA utorInnen der betrachteten Publikationen dar,i nd em deutlich wird, dass einige voni hnen für internationale Zusammenarbeit offen sind,w ährend andere ihre Forschungstätigkeit bevorzugt innerhalb der eigenen Institution vornehmen. Das Hauptaugenmerkdieser Dissertation liegt auf der Entwicklung und Untersuchung hierarchischer Co-Simulationsmethoden. Diese bezeichnen Co-Simulationen, die unter sich weitere Co-Simulationen, gegebenenfalls auf mehreren Ebenen, koordinieren. Fehlerschätzungen zeigen, dass durch die Einführung weiterer Levels keine zusätzlichen Fehler hinzukommen und Nullstabilität, gesonderta uf jeder Ebene,a nalog zu herkömmlicherC o-iii Simulation untersuchtw erden kann. Benchmark-Tests anhand gekoppelter Dahlquist-Gleichungen zeigen, dass numerische Stabilität sogar erhöht werden kann, sofernSysteme,die untereinander in höherem Ausmaß vonW erten der jeweilig anderen abhängen, die Möglichkeit haben, gesonderta nw eiteren Kommunikationszeitpunkten Daten auszutauschen. Dadurch kann die Genauigkeit erhöht und qualitatives Verhalten erhalten werden, ohne die gesamte Co-Simulation zu verlangsamen. Insgesamt stellt hierarchische Co-Simulation einen innovativen Ansatz dar,der vielversprechende Ergebnisse h...

show abstract

“…Common master algorithms are the Gauss-Seidel and Jacobi (the curious reader is referred to [8] for an overview of these algorithms and a survey on co-simulation). In this work, we use the open-source INTO-CPS tool-chain [11], for the design and execution of co-simulation multi-models, with Maestro [12] as orchestration engine employing an FMI-based Jacobi master algorithm.…”

Section: Concepts and Toolsmentioning

confidence: 99%

RMQFMU: Bridging the Real World with Co-simulation Technical Report

Frasheri,

Ejersbo,

Thule

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

In this paper we present an experience report for the RMQ-FMU, a plug and play tool, that enables feeding data to/from an FMI2based co-simulation environment based on the AMQP protocol. Bridging the co-simulation to an external environment allows on one side to feed historical data to the co-simulation, serving different purposes, such as visualisation and/or data analysis. On the other side, such a tool facilitates the realisation of the digital twin concept by coupling co-simulation and hardware/robots close to real-time. In the paper we present limitations of the initial version of the RMQFMU with respect to the capability of bridging co-simulation with the real world. To provide the desired functionality of the tool, we present in a step-by-step fashion how these limitations, and subsequent limitations, are alleviated. We perform various experiments in order to give reason to the modifications carried out. Finally, we report on two case-studies where we have adopted the RMQFMU, and provide guidelines meant to aid practitioners in its use.

show abstract

Towards Reuse of Synchronization Algorithms in Co-simulation Frameworks

Cited by 11 publications

References 14 publications

The Effect and Selection of Solution Sequence in Co-Simulation

The Effect and Selection of Solution Sequence in Co-Simulation

Cooperative and Multirate Simulation: Analysis, Classification and New Hierarchical Approaches

RMQFMU: Bridging the Real World with Co-simulation Technical Report

Contact Info

Product

Resources

About