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</script>doi: 10.3384/ecp09430096
New language elements are introduced in Modelica 3.1 to facilitate use Modelica models in embedded systems, e.g., as controllers. Models can be conveniently configured by marking the borders of the respective controller parts and by defining the mapping of the marked parts to target processors and target tasks. This approach allows to define a “logical” model from which all different “real” controller configurations for Model-, Software-, Hardware-in-the-Loop (MiL, SiL, HiL), rapid prototyping, and production code for multi-processing/multi-tasking are automatically derived by setting configuration options. Furthermore, a new, free library - Modelica_EmbeddedSystems - is presented that provides a convenient user interface to the new language elements. In summary, the power of Modelica in the area of realtime control is improved significantly.
multi-tasking, Software-in-the-Loop, Hardware-in-the-Loop, multi-core, Model-in-the-Loop, Embedded systems, multi-rate, model parallelization, real-time control, Systemdynamik und Regelungstechnik (war Entwurfsorientierte Regelungstechnik), rapid prototyping
multi-tasking, Software-in-the-Loop, Hardware-in-the-Loop, multi-core, Model-in-the-Loop, Embedded systems, multi-rate, model parallelization, real-time control, Systemdynamik und Regelungstechnik (war Entwurfsorientierte Regelungstechnik), rapid prototyping
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
