{"title":"机电系统的模糊逻辑控制","authors":"J. Cigánek, F. Noge","doi":"10.1109/PC.2013.6581428","DOIUrl":null,"url":null,"abstract":"The paper presents one of the possibilities how to control selected mechatronic system using the fuzzy logic. The proposed solution is illustrated on the case study that is simulated in co-simulation of two different modeling environments - Matlab-Simulink and MSC Adams. This co-simulation consists of the data transfer between mentioned environments while the control part is realized in Matlab-Simulink by fuzzy controller and the dynamics of the mechatronic system is created in MSC Adams.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Fuzzy logic control of mechatronic systems\",\"authors\":\"J. Cigánek, F. Noge\",\"doi\":\"10.1109/PC.2013.6581428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents one of the possibilities how to control selected mechatronic system using the fuzzy logic. The proposed solution is illustrated on the case study that is simulated in co-simulation of two different modeling environments - Matlab-Simulink and MSC Adams. This co-simulation consists of the data transfer between mentioned environments while the control part is realized in Matlab-Simulink by fuzzy controller and the dynamics of the mechatronic system is created in MSC Adams.\",\"PeriodicalId\":232418,\"journal\":{\"name\":\"2013 International Conference on Process Control (PC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Process Control (PC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PC.2013.6581428\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Process Control (PC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PC.2013.6581428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents one of the possibilities how to control selected mechatronic system using the fuzzy logic. The proposed solution is illustrated on the case study that is simulated in co-simulation of two different modeling environments - Matlab-Simulink and MSC Adams. This co-simulation consists of the data transfer between mentioned environments while the control part is realized in Matlab-Simulink by fuzzy controller and the dynamics of the mechatronic system is created in MSC Adams.
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