{"title":"过程自动化采用自适应模糊控制","authors":"O. Hammerschmidt, T. Doersam","doi":"10.1109/ANNES.1995.499458","DOIUrl":null,"url":null,"abstract":"In process automation the control of plants with uncertainty or unknown parameters normally requires either a costly identification phase or an intensive fine-tuning of the controller. An easy adaptive fuzzy control is proposed which allows automatic controller tuning during operation with respect to desired closed loop behaviour. This adaptive control was added to the fuzzy kernel of an existing process automation system. Finally, experimental results of a three fingered robot gripper using this adaptive fuzzy control are presented.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Process automation using adaptive fuzzy control\",\"authors\":\"O. Hammerschmidt, T. Doersam\",\"doi\":\"10.1109/ANNES.1995.499458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In process automation the control of plants with uncertainty or unknown parameters normally requires either a costly identification phase or an intensive fine-tuning of the controller. An easy adaptive fuzzy control is proposed which allows automatic controller tuning during operation with respect to desired closed loop behaviour. This adaptive control was added to the fuzzy kernel of an existing process automation system. Finally, experimental results of a three fingered robot gripper using this adaptive fuzzy control are presented.\",\"PeriodicalId\":123427,\"journal\":{\"name\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANNES.1995.499458\",\"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 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANNES.1995.499458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In process automation the control of plants with uncertainty or unknown parameters normally requires either a costly identification phase or an intensive fine-tuning of the controller. An easy adaptive fuzzy control is proposed which allows automatic controller tuning during operation with respect to desired closed loop behaviour. This adaptive control was added to the fuzzy kernel of an existing process automation system. Finally, experimental results of a three fingered robot gripper using this adaptive fuzzy control are presented.