%0 Journal Article %1 doi:10.1080/13873954.2013.861854 %A Mehlhase, Alexandra %D 2014 %J Mathematical and Computer Modelling of Dynamical Systems %K 2014 Modelica Python simulation %R 10.1080/13873954.2013.861854 %T A Python framework to create and simulate models with variable structure in common simulation environments %U http://dx.doi.org/10.1080/13873954.2013.861854 %X In modelling and simulation, model complexity increases with the complexity of real systems, often resulting in unfeasibly long simulation times. Variable-structure models, which can change their equation set during run-time, offer a solution. This article introduces an object-oriented approach that describes such models independent of a simulation environment. The problem of changing equations during run-time is addressed using a Python framework. Three tools are already integrated, namely, Dymola, OpenModelica and Matlab/Simulink. With this framework, existing models can be easily reused, and the advantages of different simulation tools can be leveraged. The framework is illustrated using a simple satellite launch example, along with instructions for how to use the framework. The main aim of the framework is to simulate complex models with a few mode changes and thus save simulation time. With two real-world examples and a scalability analysis, it is shown that the framework fulfils these requirements.

@article{doi:10.1080/13873954.2013.861854, abstract = {In modelling and simulation, model complexity increases with the complexity of real systems, often resulting in unfeasibly long simulation times. Variable-structure models, which can change their equation set during run-time, offer a solution. This article introduces an object-oriented approach that describes such models independent of a simulation environment. The problem of changing equations during run-time is addressed using a Python framework. Three tools are already integrated, namely, Dymola, OpenModelica and Matlab/Simulink. With this framework, existing models can be easily reused, and the advantages of different simulation tools can be leveraged. The framework is illustrated using a simple satellite launch example, along with instructions for how to use the framework. The main aim of the framework is to simulate complex models with a few mode changes and thus save simulation time. With two real-world examples and a scalability analysis, it is shown that the framework fulfils these requirements.}, added-at = {2014-01-06T20:14:04.000+0100}, author = {Mehlhase, Alexandra}, biburl = {https://www.bibsonomy.org/bibtex/28155bf3cce473c298e747c29d8ce6f77/thorade}, description = {Taylor & Francis Online :: A Python framework to create and simulate models with variable structure in common simulation environments - Mathematical and Computer Modelling of Dynamical Systems -}, doi = {10.1080/13873954.2013.861854}, eprint = {http://www.tandfonline.com/doi/pdf/10.1080/13873954.2013.861854}, interhash = {58ca4f66fb898f31f0a61ef63112756c}, intrahash = {8155bf3cce473c298e747c29d8ce6f77}, journal = {Mathematical and Computer Modelling of Dynamical Systems}, keywords = {2014 Modelica Python simulation}, timestamp = {2014-01-06T20:15:28.000+0100}, title = {A Python framework to create and simulate models with variable structure in common simulation environments}, url = {http://dx.doi.org/10.1080/13873954.2013.861854}, year = 2014 }