Philipp A. Hartmann, Philipp Reinkemeier, A. Rettberg, W. Nebel
{"title":"在SystemC AMS中建模控制系统-优点和局限性","authors":"Philipp A. Hartmann, Philipp Reinkemeier, A. Rettberg, W. Nebel","doi":"10.1109/SOCCON.2009.5398043","DOIUrl":null,"url":null,"abstract":"In this paper the modelling of a physical control system with SystemC AMS is described. The presented example, a crane controller, is compared with a Matlab/Simulink model in terms of simulation performance and accuracy. Due to numerical stability issues of the canonical implementation of the physical model, an external solver is integrated into the simulation.","PeriodicalId":303505,"journal":{"name":"2009 IEEE International SOC Conference (SOCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Modelling control systems in SystemC AMS — Benefits and limitations\",\"authors\":\"Philipp A. Hartmann, Philipp Reinkemeier, A. Rettberg, W. Nebel\",\"doi\":\"10.1109/SOCCON.2009.5398043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the modelling of a physical control system with SystemC AMS is described. The presented example, a crane controller, is compared with a Matlab/Simulink model in terms of simulation performance and accuracy. Due to numerical stability issues of the canonical implementation of the physical model, an external solver is integrated into the simulation.\",\"PeriodicalId\":303505,\"journal\":{\"name\":\"2009 IEEE International SOC Conference (SOCC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International SOC Conference (SOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCCON.2009.5398043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International SOC Conference (SOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCCON.2009.5398043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling control systems in SystemC AMS — Benefits and limitations
In this paper the modelling of a physical control system with SystemC AMS is described. The presented example, a crane controller, is compared with a Matlab/Simulink model in terms of simulation performance and accuracy. Due to numerical stability issues of the canonical implementation of the physical model, an external solver is integrated into the simulation.