{"title":"静止参照系电流调节的一种有效的前馈模糊算法","authors":"Hsin-kuo Lin, Jianrong Bu, Longya Xu","doi":"10.1109/IAS.1996.560229","DOIUrl":null,"url":null,"abstract":"Feedforward control has the advantaged of quick dynamic response and easy implementation. To compensate the load variation and other system uncertainties, a fuzzy algorithm is combined with the feedforward control in this paper for current control in electric machines. Simulation and experimental results are presented to verify that the new method is very robust and has much quicker dynamic response than the PI current regulation.","PeriodicalId":177291,"journal":{"name":"IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting","volume":"12 22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An effective feedforward fuzzy algorithm for current regulation in stationary reference frame\",\"authors\":\"Hsin-kuo Lin, Jianrong Bu, Longya Xu\",\"doi\":\"10.1109/IAS.1996.560229\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Feedforward control has the advantaged of quick dynamic response and easy implementation. To compensate the load variation and other system uncertainties, a fuzzy algorithm is combined with the feedforward control in this paper for current control in electric machines. Simulation and experimental results are presented to verify that the new method is very robust and has much quicker dynamic response than the PI current regulation.\",\"PeriodicalId\":177291,\"journal\":{\"name\":\"IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting\",\"volume\":\"12 22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAS.1996.560229\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.1996.560229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An effective feedforward fuzzy algorithm for current regulation in stationary reference frame
Feedforward control has the advantaged of quick dynamic response and easy implementation. To compensate the load variation and other system uncertainties, a fuzzy algorithm is combined with the feedforward control in this paper for current control in electric machines. Simulation and experimental results are presented to verify that the new method is very robust and has much quicker dynamic response than the PI current regulation.