{"title":"The design and parameter setting methods for M-type fuzzy controller","authors":"P. Zhang, Yong Shen","doi":"10.1109/MACE.2011.5988456","DOIUrl":null,"url":null,"abstract":"On the basis of analyzing the principle and characteristic of M-type fuzzy controller, this paper proposes the design procedure and methods of M-type fuzzy controller as well as control rules of M-type fuzzy controller. And it puts forward methods of weighting factor setting for M-type fuzzy controller according to the different control plants. It discusses that M parameter affects system performance in detail, and indicates that M1, M2 and M3 have function of wide, fine and precision adjusting system performance respectively, which is similar to proportion, integral and differential coefficient of PID controller. Dynamic system simulation proves the superiority of the M-type fuzzy control.","PeriodicalId":6400,"journal":{"name":"2011 Second International Conference on Mechanic Automation and Control Engineering","volume":"31 1","pages":"6210-6213"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Second International Conference on Mechanic Automation and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MACE.2011.5988456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
On the basis of analyzing the principle and characteristic of M-type fuzzy controller, this paper proposes the design procedure and methods of M-type fuzzy controller as well as control rules of M-type fuzzy controller. And it puts forward methods of weighting factor setting for M-type fuzzy controller according to the different control plants. It discusses that M parameter affects system performance in detail, and indicates that M1, M2 and M3 have function of wide, fine and precision adjusting system performance respectively, which is similar to proportion, integral and differential coefficient of PID controller. Dynamic system simulation proves the superiority of the M-type fuzzy control.