Für den Austausch und zur Kopplung von Simulationsmodellen ist die Nutzung herstellerübergreifender Standards wie des Functional Mock-up-Interfaces (FMI) unerlässlich. In diesem Artikel wird eine Methode zum automatisierten Export von Simulationsmodellen aus Simulink in Module nach dem Standard FMI for Co-Simulation vorgestellt. Der automatisierte Export nutzt den Quelltextgenerator von Simulink und passt diesen über Templates für den Target Language Compiler so an, dass der erzeugte Quelltext das Functional Mock-up Interface implementiert. Der Artikel beschreibt die Methode zum Auslesen der Signaldefinitionen inkl. Bezeichner und Typen aus dem Simulink-Modell und die Methode zur Generierung des FMI-Quelltextes.

Für den Austausch und zur Kopplung von Simulationsmodellen ist die Nutzung herstellerübergreifender Standards wie des Functional Mock-up-Interfaces (FMI) unerlässlich. In diesem Artikel wird eine Methode zum automatisierten Export von Simulationsmodellen aus Simulink in Module nach dem Standard FMI for Co-Simulation vorgestellt. Der automatisierte Export nutzt den Quelltextgenerator von Simulink und passt diesen über Templates für den Target Language Compiler so an, dass der erzeugte Quelltext das Functional Mock-up Interface implementiert. Der Artikel beschreibt die Methode zum Auslesen der Signaldefinitionen inkl. Bezeichner und Typen aus dem Simulink-Modell und die Methode zur Generierung des FMI-Quelltextes.

With the rise in computational power, the prospect of simulating a complex engineering system with a high degree of accuracy and in a meaningful way is becoming a real possibility. Modelling and simulation have become ubiquitous throughout the engineering life cycle, as a consequence there are many thousands of existing models and simulations that are potential candidates for integration. This work is concerned with ascertaining if systems engineering principles are of use in the support of virtual testing, from desire to test, designing experiments, specifying simulations, selecting models and simulations, integrating component parts, verifying that the work is as specified, and validating that any outcomes are meaningful. A novel representation of systems engineering framework is proposed and forms the bases for the methods that were developed. It takes the core systems engineering principles and expresses them in a way that can be implemented in a variety of ways. An end to end process for virtual testing with the potential to use existing models and simulations is proposed, it provides structure and order to the testing task. A key part of the proposed process is the recognition that models and simulations requirements are different from those of the system being designed, and hence a modelling and simulation specific writing guide is produced. The automation of any engineering task has the potential to reduce the time to market of the final product, for this reason the potential of natural language processing technology to hasten the proposed processes was investigated. Two case studies were selected to test and demonstrate the potential of the novel approach, the first being an investigation into material selection for a squash ball, and the second being automotive in nature concerned with combining steering and braking systems. The processes and methods indicated their potential value, especially in the automotive case study where inconsistences were identified that could have otherwise affected the successful integration. This capability, combined with the verification stages, improves the confidence of any model and simulation integration. The NLP proof of concept software also demonstrated that such technology has value in the automation of integration. With further testing and development there is the possibility to create a software package to guide engineers through the difficult task of virtual testing. Such a tool would have the potential to drastically reduce the time to market of complex products.

This diploma thesis deals with creation of elektromechanical model in Modelica language which is subsequently imported into LabVIEW environment. The Modelica language, LabVIEW graphical programming tool and Functional Mock-up Interface 2.0 standard are described in the introduction of this thesis. Functional Mock-up Interface is a tool independent standard witch, defines a standardized interface to ModelExchange and Co-simulation of complex system components. The model of electromechanical system was created based on Functional Mock-up Interface standard. Part of the work focuses on the Functional Mock-up Unit storage possibilities and LabVIEW support to import models of this type. The imported model was simulated and tested in this environment. Finally, the instance of Functional Mock-up Unit was connected with LabVIEW FPGA target for the purpose of model HIL simulation on CompactRIO platform.

This thesis solves the use of Modelica models in Matlab/Simulink enviroment. The first part is focused on Modelica language and Functional Mock-up Interface, a standard way for model exchange and co-simulation of dynamic models, which is supported by most Modelica oriented tools. Based on this standard FMUtoolbox was created and it provides the ability to import and simulate models exported as Functional Mock-up Unit. The tool provides a Simulink block, graphical and command-line interface.

De nos jours, la validation des unités de contrôle électronique ECU se fonde généralement sur la simulationHardware-In-the-Loop où les systèmes physiques qui manquent sont modélisés à l’aide deséquations différentielles hybrides. La complexité croissante de ce type de modèles rend le compromisentre le temps de calcul et la précision de la simulation difficile à satisfaire. Cette thèse étudie et proposedes méthodes d’analyse et d’expérimentation destinées à la co-simulation temps-réel ferme de modèlesdynamiques hybrides. Elle vise notamment à définir des solutions afin d’exploiter plus efficacement leparallélisme fourni par les architectures multi-coeurs en utilisant de nouvelles méthodes et paradigmesde l’allocation des ressources. La première phase de la thèse a étudié la possibilité d’utiliser des méthodesd’intégration numérique permettant d’adapter l’ordre comme la taille du pas de temps ainsi quede détecter les événements et ceci dans le contexte de la co-simulation modulaire avec des contraintestemps-réel faiblement dures. De plus, l’ordre d’exécution des différents modèles a été étudié afin dedémontrer l’influence du respect des dépendances de données entre les modèles couplés sur les résultatsde la simulation. Nous avons proposé pour cet objectif, une nouvelle méthode de co-simulationqui permet le parallélisme complet entre les modèles impliquant une accélération supra-linéaire sanspour autant ajouter des erreurs liées à l’ordre d’exécution. Enfin, les erreurs de retard causées par lataille de pas de communication entre les modèles ont été améliorées grâce à une nouvelle méthoded’extrapolation par contexte des signaux d’entrée. Toutes les approches proposées visent de manièreconstructive à améliorer la vitesse de simulation afin de respecter les contraintes temps-réel, tout engardant la qualité et la précision des résultats de simulation sous contrôle. Ces méthodes ont été validéespar plusieurs essais et expériences sur un modèle de moteur à combustion interne et intégrées àun prototype du logiciel xMOD. / Nowadays the validation of Electronic Control Units ECUs generally relies on Hardware-in-The-Loopsimulation where the lacking physical systems are modeled using hybrid differential equations. Theincreasing complexity of this kind of models makes the trade-off between time efficiency and the simulationaccuracy hard to satisfy. This thesis investigates and proposes some analytical and experimentalmethods towards weakly-hard real-time co-simulation of hybrid dynamical models. It seeks in particularto define solutions in order to exploit more efficiently the parallelism provided by multi-core architecturesusing new methods and paradigms of resource allocation. The first phase of the thesis studied the possibilityof using step-size and order control numerical integration methods with events detection in thecontext of real-time modular co-simulation when the time constraints are considered weakly-hard. Moreover,the execution order of the different models was studied to show the influence of keeping or not thedata dependencies between coupled models on the simulation results. We proposed for this aim a newmethod of co-simulation that allows the full parallelism between models implying supra-linear speed-upswithout adding errors related to their execution order. Finally, the delay errors due to the communicationstep-size between the models were improved thanks to a proposed context-based inputs extrapolation.All proposed approaches target constructively to enhance the simulation speed for the compliance toreal-time constraints while keeping the quality and accuracy of simulation results under control and theyare validated through several test and experiments on an internal combustion engine model and integratedto a prototype version of the xMOD software.