{"title":"A Fuzzy Immune PID Controller for Electronic Throttle","authors":"Lifeng Chen, Ran Chen","doi":"10.1109/ISCID.2009.25","DOIUrl":null,"url":null,"abstract":"Due to the influence of nonlinear dynamic characteristic of electronic throttle, time delay, external disturbance and parameter variation, the opening of electronic throttle is hard to control precisely. A fuzzy immune adaptive PID control is presented based on the immune feedback regulating law and the adaptive ability of fuzzy logic ratiocination. The model of the electronic throttle system is built and the controller model is designed based on Matlab/Simulink. Simulation research and practical results show that control effect of the method is superior to general PID control, and it is provided with better robustness and adaptive ability even if parameters are changed and disturbs are happened.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2009.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Due to the influence of nonlinear dynamic characteristic of electronic throttle, time delay, external disturbance and parameter variation, the opening of electronic throttle is hard to control precisely. A fuzzy immune adaptive PID control is presented based on the immune feedback regulating law and the adaptive ability of fuzzy logic ratiocination. The model of the electronic throttle system is built and the controller model is designed based on Matlab/Simulink. Simulation research and practical results show that control effect of the method is superior to general PID control, and it is provided with better robustness and adaptive ability even if parameters are changed and disturbs are happened.