Model Generation for Multiple Simulators Using SES/MB and FMI

Folkerts, Hendrik; Pawletta, Thorsten; Deatcu, Christina

doi:10.11128/sne.31.tn.10554

Cited by 4 publications

(6 citation statements)

References 5 publications

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“…In analogy to Schmidt [135], an SES/MB-based architecture for cross-simulator automated experimentation was designed and implemented as a Python toolset [51]. It supports interactive specification of SES and model generation for different target simulators using the native as well as the FMI-based approach.…”

Section: Discussionmentioning

confidence: 99%

An Architecture for Model Behavior Generation for Multiple Simulators

Folkerts

2024

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Due to the increasing variety of products, the complexity in the development of technical systems is growing more and more. Accordingly, the management of system variants is a central aspect in the investigation of multifaceted systems with methods of Modeling and Simulation (M&S). If the systems under investigation are modular-hierarchical, the System Entity Structure (SES)/Model Base (MB) framework is an adequate and established approach to variant management in M&S. This approach is based on a strict separation of system variants or system structures on the one hand and reusable and parameterizable basic components on the other hand. Different system structures, system variants, as well as different system parameterizations are called system configurations. While system configurations are represented in an SES, basic components of models are organized in an MB. The SES is a special tree structure and the basic components represent dynamic systems with defined input and output interfaces. The general SES/MB approach describes the SES as an ontology for cross-domain and simulator-independent specification of system configurations. The cross-domain nature of the SES is confirmed by a large number of practical applications. Previous software implementations of the SES/MB framework show that the organization of the MB in this respect is always simulator-specific. Furthermore, implementations of the SES/MB framework also exhibit simulator dependencies in SES, namely in referencing and parameterizing basic components of an MB. These limitations are not of concern if only one specific M&S environment is used. However, this work aims to overcome this limitation and support a model generation independent of an M&S environment.Complex and multifaceted systems, such as Cyber-Physical Systems (CPS), consist of components from different technical domains. Components are modeled and simulated with different and often domain-specific M&S environments. To generate an overall system model, components in the MB must be organized for different M&S environments. Furthermore, the specification of system configurations in the SES must also be truly simulator-independent.

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Section: Discussionmentioning

confidence: 99%

An Architecture for Model Behavior Generation for Multiple Simulators

Folkerts

2024

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“…Since the introduction of the SES/MB framework, it has been continuously developed by different researchers, such as presented in [4,5,6,7,8,9,10]. There are several approaches to the pruning method.…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, Schmidt [9] proposes an extended SES/MB-based software architecture to automate simulation studies in the MATLAB/Simulink environment. Based on [9], a soft-SNE 33(1) -3/2023 ware architecture is developed in [10] that supports the generation of executable simulation models for different target simulators. Among other things, this is based on the use of the Functional Mock-up Interface (FMI).…”

Section: Introductionmentioning

confidence: 99%

An Extension for the Specification and Automated Selection of System Variants Based on the System Entity Structure Using a Problem from Process Industry

Folkerts¹,

Pawletta²,

Durak³

2023

SNE

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Modeling and Simulation (M&S) is widely used in various fields of engineering, manufacturing or process industry to investigate different system variants.An increasing problem of M&S is the complexity and variety of system variants. This concerns on the one hand the modeling effort and on the other hand the management of system variants in simulation studies. A general approach to the specification of different system variants is offered by the System Entity Structure (SES). It describes a set of system designs with different system structures and parameter configurations. In combination with a Model Base (MB), an SES can be used to describe different configurations of simulation models. The SES/MB framework and extended software architectures based on it define methods for the automated selection of system/model variants as well as for the generation and execution of simulation models. In this paper, the special descriptive element of the SES, the multi-aspect, is discussed. It is shown, how with hierarchically arranged multi-aspects certain forms of system variants can be specified very efficiently. Furthermore, a method for an automated derivation of system variants is presented in the context of hierarchical multi-aspects. This is important for the automation of simulation studies. For a practical illustration of the general method, it is presented using a problem from the process industry.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Accordingly, Schmidt [9] proposes an extended SES/MB-based software architecture to automate simulation studies in the MATLAB/Simulink environment. Based on [9], a software architecture is developed in [10] that supports the generation of executable simulation models for different target simulators. Among other things, this is based on the use of the Functional Mock-up Interface (FMI).…”

Section: Introductionmentioning

confidence: 99%

An Extension for the Specification and Automated Selection of System Variants Based on the System Entity Structure Using a Problem from Process Industry

Flkerts¹,

Pawletta²,

Durak³

2022

ASIM SST 2022 Proceedings Langbeiträge

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Modeling and Simulation (M&S) is widely used in various fields of engineering, manufacturing or process industry to investigate different system variants. An increasing problem of M&S is the complexity and variety of system variants. This concerns on the one hand the modeling effort and on the other hand the management of system variants in simulation studies. A general approach to the specification of different system variants is offered by the System Entity Structure (SES). It describes a set of system designs with different system structures and parameter configurations. In combination with a Model Base (MB), an SES can be used to describe different configurations of simulation models. The SES/MB framework and extended software architectures based on it define methods for the automated selection of system/model variants as well as for the generation and execution of simulation models. In this paper, the special descriptive element of the SES, the multi-aspect, is discussed. It is shown, how with hierarchically arranged multi-aspects certain forms of system variants can be specified very efficiently. Furthermore, a method for an automated derivation of system variants is presented in the context of hierarchical multi-aspects. This is important for the automation of simulation studies. For a practical illustration of the general method, it is presented using a problem from the process industry.

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Model Generation for Multiple Simulators Using SES/MB and FMI

Cited by 4 publications

References 5 publications

An Architecture for Model Behavior Generation for Multiple Simulators

An Architecture for Model Behavior Generation for Multiple Simulators

An Extension for the Specification and Automated Selection of System Variants Based on the System Entity Structure Using a Problem from Process Industry

An Extension for the Specification and Automated Selection of System Variants Based on the System Entity Structure Using a Problem from Process Industry

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