{"title":"The intelligent control analysis of a fuzzy fractional order controller","authors":"X. Peng, Nan Wang, Haifeng Wang, Qingqi Zhao","doi":"10.1109/ICVES.2013.6619630","DOIUrl":null,"url":null,"abstract":"The researches on the analysis of the fractional order PI<sup>λ</sup>D<sup>μ</sup> such as the complex frequency domain method, plane root locus method and spatial root locus method, mostly applied on classic controlling situation, meanwhile for nonlinear system it is hard to build complete accurate mathematical model of complex systems. So in order to solve such problems, many improved self-regulating and self-adaption with PID controllers emerged. With fuzzy adaptive PID control algorithm greatly developed, in this paper we came up with a control method based on the fuzzy control fractional order PI<sup>λ</sup>D<sup>μ</sup> controller.","PeriodicalId":151322,"journal":{"name":"International Conference on Vehicular Electronics and Safety","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Vehicular Electronics and Safety","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVES.2013.6619630","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
The researches on the analysis of the fractional order PIλDμ such as the complex frequency domain method, plane root locus method and spatial root locus method, mostly applied on classic controlling situation, meanwhile for nonlinear system it is hard to build complete accurate mathematical model of complex systems. So in order to solve such problems, many improved self-regulating and self-adaption with PID controllers emerged. With fuzzy adaptive PID control algorithm greatly developed, in this paper we came up with a control method based on the fuzzy control fractional order PIλDμ controller.