K. Inoue, Junnji Yoshitugu, S. Shirogane, P. Boyagoda, M. Nakaoka
{"title":"交流伺服电机驱动系统采用自整定增益参数处理器与自动学习控制方案","authors":"K. Inoue, Junnji Yoshitugu, S. Shirogane, P. Boyagoda, M. Nakaoka","doi":"10.1109/ISIE.1997.648871","DOIUrl":null,"url":null,"abstract":"In this paper, an advanced control method of system parameter auto-tuning implementation for an AC servo system using fuzzy reasoning logic with an automatic learning control function is described. This method includes three features: (i) it is not necessary to input some kinds of fuzzy rules to the servo system before starting auto-tuning operation, thus, the fuzzy rules can be automatically produced in logical process learning; (ii) knowledge and information about the system parameter tuning technique are not required; and (iii) both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for an AC servo system are practically confirmed through experimental results.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"196 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"AC servo motor drive systems using auto-tuning gain parameter processor with automatic learning control scheme\",\"authors\":\"K. Inoue, Junnji Yoshitugu, S. Shirogane, P. Boyagoda, M. Nakaoka\",\"doi\":\"10.1109/ISIE.1997.648871\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an advanced control method of system parameter auto-tuning implementation for an AC servo system using fuzzy reasoning logic with an automatic learning control function is described. This method includes three features: (i) it is not necessary to input some kinds of fuzzy rules to the servo system before starting auto-tuning operation, thus, the fuzzy rules can be automatically produced in logical process learning; (ii) knowledge and information about the system parameter tuning technique are not required; and (iii) both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for an AC servo system are practically confirmed through experimental results.\",\"PeriodicalId\":134474,\"journal\":{\"name\":\"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics\",\"volume\":\"196 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIE.1997.648871\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.1997.648871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AC servo motor drive systems using auto-tuning gain parameter processor with automatic learning control scheme
In this paper, an advanced control method of system parameter auto-tuning implementation for an AC servo system using fuzzy reasoning logic with an automatic learning control function is described. This method includes three features: (i) it is not necessary to input some kinds of fuzzy rules to the servo system before starting auto-tuning operation, thus, the fuzzy rules can be automatically produced in logical process learning; (ii) knowledge and information about the system parameter tuning technique are not required; and (iii) both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for an AC servo system are practically confirmed through experimental results.