Co-simulation with communication step size control in an FMI compatible master algorithm

Schierz, Tom; Arnold, Martin; Clauß, Christoph

doi:10.3384/ecp12076205

Cited by 56 publications

(55 citation statements)

References 5 publications

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“…Several authors discuss ways of implementing master algorithms [3,6,22] and how to generate and implement FMUs for the current FMI cosimulation standard [8,20]. However, in this paper we formalize requirements and test cases that are needed for the next standard that should include a sound interface for hybrid co-simulation.…”

Section: Related Workmentioning

confidence: 99%

Requirements for hybrid cosimulation standards

Broman

Greenberg

Lee

et al. 2015

Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control

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This paper defines a suite of requirements for future hybrid cosimulation standards, and specifically provides guidance for development of a hybrid cosimulation version of the Functional Mockup Interface (FMI). A cosimulation standard defines interfaces that enable diverse simulation tools to interoperate. Specifically, one tool defines a component that forms part of a simulation model in another tool. We focus on components with inputs and outputs that are functions of time, and specifically on mixtures of discrete events and continuous time signals. This hybrid mixture is not well supported by existing cosimulation standards, and specifically not by FMI 2.0, for reasons that are explained in this paper. The paper defines a suite of test components, giving a mathematical model of an ideal behavior, plus a discussion of practical implementation considerations. The discussion includes acceptance criteria by which we can determine whether a standard supports definition of each component. In addition, we define a set of test compositions that define requirements for coordination between components, including consistent handling of timed events.

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Section: Related Workmentioning

confidence: 99%

Requirements for hybrid cosimulation standards

Broman

Greenberg

Lee

et al. 2015

Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control

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“…This implementation has been used in [6] to connect via co-simulation the modelcheckers Uppaal [28] and SpaceEx [19]. Several authors have also described approaches to implement FMI master algorithms [2,45], and ways to implement FMUs in the currently available FMI standard [17,43], without considering the time aspects for hybrid co-simulation.…”

Section: Related Workmentioning

confidence: 99%

Hybrid co-simulation: it’s about time

et al. 2017

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Model-based design methodologies are commonly used in industry for the development of complex cyber-physical systems (CPSs). There are many different languages, tools, and formalisms for model-based design, each with its strengths and weaknesses. Instead of accepting some weaknesses of a particular tool, an alternative Communicated by Prof. J. Sztipanovits, M. Broy, and H. Daembkes. This work is partially based on previous work published by the authors [7,8,15] is to embrace heterogeneity, and to develop tool integration platforms and protocols to leverage the strengths from different environments. A fairly recent attempt in this direction is the functional mock-up interface (FMI) standard that includes support for co-simulation. Although this standard has reached acceptance in industry, it provides only limited support for simulating systems that mix continuous and discrete behavior, which are typical of CPS. This paper identifies the representation of time as a key problem, because the FMI representation does not support well the discrete events that typically occur at the cyber-physical boundary. We analyze alternatives for representing time in hybrid co-simulation and conclude that a superdense model of time using integers only solves many of these problems. We show how an execution engine can pick an adequate time resolution, and how disparities between time representations internal to co-simulated components and the resulting effects of time quantization can be managed. We propose a concrete extension to the FMI standard for supporting hybrid co-simulation that includes integer time, automatic choice of time resolution, and the use of absent signals. We explain how these extensions can be implemented modularly within the frameworks of existing simulation environments.

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“…Moreover, cosimulation can be necessary if a particular solver on a specific platform is needed, for instance one which deals with large non linearities and discontinuities. Variable cosimulation step could highly increase the CPU time [18], [19]. A tested solution that can accelerate the simulation consists in putting the AMESim model in a triggered Simulink subsystem.…”

Section: B Cosimulation Solutionsmentioning

confidence: 99%

Modeling and Analysis of a Turbojet Fuel System

Brun¹,

Godoy²,

Beauvois³

et al. 2014

IJCTE

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Abstract-The aim of this paper is to study a new concept of fuel system of a turbojet, to design its control system and to validate its behavior using simulation. AMESim is used to represent the physical system and Simulink has been adopted for the implementation of the control laws. A multi-loop PID strategy is then selected. Simulation tools and different methods of their couplings, including exchange, cosimulation and FMI are benchmarked to find which strategy is the best suitable.

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Co-simulation with communication step size control in an FMI compatible master algorithm

Cited by 56 publications

References 5 publications

Requirements for hybrid cosimulation standards

Requirements for hybrid cosimulation standards

Hybrid co-simulation: it’s about time

Modeling and Analysis of a Turbojet Fuel System

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