{"title":"非局部迟滞函数辨识与补偿的神经网络","authors":"P. Berényi, G. Horváth","doi":"10.1109/ISP.2003.1275831","DOIUrl":null,"url":null,"abstract":"We discuss the online identification of nonlocal static hysteresis functions, which are encountered in mechanical friction, magnetic materials, and piezoelectric actuators and causes problems by the design of controllers. We introduce a compensation method for friction in presliding regime based on the simplified Leuven friction model and on technology borrowed from neural networks. We present a solution how to identify the hysteresis caused by the friction and how to use this identified model for the compensation of the friction effects. Results from both simulations and experiments are shown.","PeriodicalId":285893,"journal":{"name":"IEEE International Symposium on Intelligent Signal Processing, 2003","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural networks for nonlocal hysteresis function identification and compensation\",\"authors\":\"P. Berényi, G. Horváth\",\"doi\":\"10.1109/ISP.2003.1275831\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We discuss the online identification of nonlocal static hysteresis functions, which are encountered in mechanical friction, magnetic materials, and piezoelectric actuators and causes problems by the design of controllers. We introduce a compensation method for friction in presliding regime based on the simplified Leuven friction model and on technology borrowed from neural networks. We present a solution how to identify the hysteresis caused by the friction and how to use this identified model for the compensation of the friction effects. Results from both simulations and experiments are shown.\",\"PeriodicalId\":285893,\"journal\":{\"name\":\"IEEE International Symposium on Intelligent Signal Processing, 2003\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Symposium on Intelligent Signal Processing, 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISP.2003.1275831\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Intelligent Signal Processing, 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISP.2003.1275831","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural networks for nonlocal hysteresis function identification and compensation
We discuss the online identification of nonlocal static hysteresis functions, which are encountered in mechanical friction, magnetic materials, and piezoelectric actuators and causes problems by the design of controllers. We introduce a compensation method for friction in presliding regime based on the simplified Leuven friction model and on technology borrowed from neural networks. We present a solution how to identify the hysteresis caused by the friction and how to use this identified model for the compensation of the friction effects. Results from both simulations and experiments are shown.
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