Abolfazl Jalilvand, S. Khanmohammadi, F. Shabaninia
{"title":"基于Petri网的混合制造系统建模与仿真","authors":"Abolfazl Jalilvand, S. Khanmohammadi, F. Shabaninia","doi":"10.1109/ICET.2005.1558912","DOIUrl":null,"url":null,"abstract":"Dynamic systems with a mix of continuous and discrete components called hybrid systems frequently arise in engineering applications. By modeling these different components using differential equations and discrete events, it is possible to represent a wide range of phenomena present in physical and technological systems. Since many of these applications are safety critical, if is important to use reliable methods to simulate hybrid systems. In this paper we deal with modeling and simulation of hybrid systems using an extended form of timed Petri net. The proposed method is used for modeling of a robotic manufacturing system. The simulation results are obtained by a modified Petri net toolbox.","PeriodicalId":222828,"journal":{"name":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Petri net-based modeling and simulation of a hybrid manufacturing system\",\"authors\":\"Abolfazl Jalilvand, S. Khanmohammadi, F. Shabaninia\",\"doi\":\"10.1109/ICET.2005.1558912\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic systems with a mix of continuous and discrete components called hybrid systems frequently arise in engineering applications. By modeling these different components using differential equations and discrete events, it is possible to represent a wide range of phenomena present in physical and technological systems. Since many of these applications are safety critical, if is important to use reliable methods to simulate hybrid systems. In this paper we deal with modeling and simulation of hybrid systems using an extended form of timed Petri net. The proposed method is used for modeling of a robotic manufacturing system. The simulation results are obtained by a modified Petri net toolbox.\",\"PeriodicalId\":222828,\"journal\":{\"name\":\"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICET.2005.1558912\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Symposium on Emerging Technologies, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET.2005.1558912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Petri net-based modeling and simulation of a hybrid manufacturing system
Dynamic systems with a mix of continuous and discrete components called hybrid systems frequently arise in engineering applications. By modeling these different components using differential equations and discrete events, it is possible to represent a wide range of phenomena present in physical and technological systems. Since many of these applications are safety critical, if is important to use reliable methods to simulate hybrid systems. In this paper we deal with modeling and simulation of hybrid systems using an extended form of timed Petri net. The proposed method is used for modeling of a robotic manufacturing system. The simulation results are obtained by a modified Petri net toolbox.