{"title":"离散事件系统中FMI组件的应用","authors":"Wolfgang Muller, E. Widl","doi":"10.1109/MSCPES.2015.7115397","DOIUrl":null,"url":null,"abstract":"The simulation of hybrid system is of interest in different areas, e.g., cyber-physical energy systems. This includes the embedding of continuous-time subsystems in discrete event systems. The difficulties of resulting synchronisation schedules are approached by precalculation within the components. The Functional Mock-up Interface (FMI) is a state of the art specification for the co-simulation of continuous systems, which is supported by a growing number of simulation software. FMI for Model Exchange components generated with OpenModelica have been embedded in the discrete event domain of Ptolemy II as a proof of concept. An example shows that the use of FMI components has a better scalability and shorter runtime than a pure Ptolemy II implementation.","PeriodicalId":212582,"journal":{"name":"2015 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Using FMI components in discrete event systems\",\"authors\":\"Wolfgang Muller, E. Widl\",\"doi\":\"10.1109/MSCPES.2015.7115397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The simulation of hybrid system is of interest in different areas, e.g., cyber-physical energy systems. This includes the embedding of continuous-time subsystems in discrete event systems. The difficulties of resulting synchronisation schedules are approached by precalculation within the components. The Functional Mock-up Interface (FMI) is a state of the art specification for the co-simulation of continuous systems, which is supported by a growing number of simulation software. FMI for Model Exchange components generated with OpenModelica have been embedded in the discrete event domain of Ptolemy II as a proof of concept. An example shows that the use of FMI components has a better scalability and shorter runtime than a pure Ptolemy II implementation.\",\"PeriodicalId\":212582,\"journal\":{\"name\":\"2015 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSCPES.2015.7115397\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSCPES.2015.7115397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The simulation of hybrid system is of interest in different areas, e.g., cyber-physical energy systems. This includes the embedding of continuous-time subsystems in discrete event systems. The difficulties of resulting synchronisation schedules are approached by precalculation within the components. The Functional Mock-up Interface (FMI) is a state of the art specification for the co-simulation of continuous systems, which is supported by a growing number of simulation software. FMI for Model Exchange components generated with OpenModelica have been embedded in the discrete event domain of Ptolemy II as a proof of concept. An example shows that the use of FMI components has a better scalability and shorter runtime than a pure Ptolemy II implementation.