{"title":"Simulation Research of Fuzzy Auto-tuning PID Controller Based on Matlab","authors":"H.J. Live, H.B. Wang, X.M. Zhu, Z.H Shen, J. Chen","doi":"10.1109/icomssc45026.2018.8941845","DOIUrl":null,"url":null,"abstract":"in this paper, the fuzzy control and the PID control are combined, and the fuzzy inference method is utilized to realize the on-line auto-tuning of PID parameters. By applying the fuzzy control toolbox and the Simulink in Matlab , it takes the electric steering gear as the object to simulate. By setting the fuzzy auto-tuning controller, the paper draws a conclusion that this method surpasses the conventional PID with higher control accuracy, smaller overshoot, and better dynamic performance.","PeriodicalId":332213,"journal":{"name":"2018 International Computers, Signals and Systems Conference (ICOMSSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Computers, Signals and Systems Conference (ICOMSSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icomssc45026.2018.8941845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
in this paper, the fuzzy control and the PID control are combined, and the fuzzy inference method is utilized to realize the on-line auto-tuning of PID parameters. By applying the fuzzy control toolbox and the Simulink in Matlab , it takes the electric steering gear as the object to simulate. By setting the fuzzy auto-tuning controller, the paper draws a conclusion that this method surpasses the conventional PID with higher control accuracy, smaller overshoot, and better dynamic performance.