{"title":"采用磁流变阻尼器的四分之一汽车半主动悬架系统的模糊PID控制仿真","authors":"M. Zeinali, I. Darus","doi":"10.1109/CCSII.2012.6470482","DOIUrl":null,"url":null,"abstract":"A quarter-car dynamic system has been modeled using Magnetorheological (MR) damper and a parallel structure of fuzzy PID controller to control the semi-active suspension system. The polynomial model is applied to estimate the behavior of MR damper. The MATLAB software and its Simulink environment are used to simulate the model of the system. The results show the use of fuzzy PID controller has successfully reduced the chassis displacement as the driving comfort objectives than PID controller and improved its robustness.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Fuzzy PID controller simulation for a quarter-car semi-active suspension system using Magnetorheological damper\",\"authors\":\"M. Zeinali, I. Darus\",\"doi\":\"10.1109/CCSII.2012.6470482\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A quarter-car dynamic system has been modeled using Magnetorheological (MR) damper and a parallel structure of fuzzy PID controller to control the semi-active suspension system. The polynomial model is applied to estimate the behavior of MR damper. The MATLAB software and its Simulink environment are used to simulate the model of the system. The results show the use of fuzzy PID controller has successfully reduced the chassis displacement as the driving comfort objectives than PID controller and improved its robustness.\",\"PeriodicalId\":389895,\"journal\":{\"name\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCSII.2012.6470482\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Conference on Control, Systems & Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSII.2012.6470482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy PID controller simulation for a quarter-car semi-active suspension system using Magnetorheological damper
A quarter-car dynamic system has been modeled using Magnetorheological (MR) damper and a parallel structure of fuzzy PID controller to control the semi-active suspension system. The polynomial model is applied to estimate the behavior of MR damper. The MATLAB software and its Simulink environment are used to simulate the model of the system. The results show the use of fuzzy PID controller has successfully reduced the chassis displacement as the driving comfort objectives than PID controller and improved its robustness.
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