{"title":"Fuzzy-controlled DC drive system with load observer","authors":"Xiaogang Feng, Boshi Chen","doi":"10.1109/AMC.1996.509432","DOIUrl":null,"url":null,"abstract":"Fuzzy-controlled drive systems have received a lot of attention in recent years. However, the conventional fuzzy controller does not lead to satisfactory control performance, because of the steady-state error it causes. In this paper, a new fuzzy-controlled DC drive system is described: a simple load observer is introduced into the speed controller to eliminate the steady-state error. In addition, by regulating the quantization scaling factor (Ke) and the output scaling factor (Ku) according to the operating condition, the chattering phenomenon in steady-state is reduced. Simulation results are provided to demonstrate the effectiveness of the proposed fuzzy controller.","PeriodicalId":360541,"journal":{"name":"Proceedings of 4th IEEE International Workshop on Advanced Motion Control - AMC '96 - MIE","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 4th IEEE International Workshop on Advanced Motion Control - AMC '96 - MIE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMC.1996.509432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Fuzzy-controlled drive systems have received a lot of attention in recent years. However, the conventional fuzzy controller does not lead to satisfactory control performance, because of the steady-state error it causes. In this paper, a new fuzzy-controlled DC drive system is described: a simple load observer is introduced into the speed controller to eliminate the steady-state error. In addition, by regulating the quantization scaling factor (Ke) and the output scaling factor (Ku) according to the operating condition, the chattering phenomenon in steady-state is reduced. Simulation results are provided to demonstrate the effectiveness of the proposed fuzzy controller.