{"title":"基于模糊调谐PI控制器的重型车辆避侧转向控制","authors":"Anjana Byju","doi":"10.24924/ijise/2018.11/v6.iss2/128.141","DOIUrl":null,"url":null,"abstract":"The aim of this article is to develop an active steering assistance system in order to avoid the rollover of heavy vehicle. This approach is applied on single body model of heavy vehicle. The main objectives are to prevent rollover and minimize the deviation from the desired trajectory. The mathematical model of the vehicle is implemented using MATLAB as an initial a work. Then found a measure for potential rollover, considering the term Load transfer ratio (LTRd) for that. The simulation for varying parameters like speed and center height of gravity is also covered in this research. Hence analyze the system response by tuning the PI parameter using fuzzy logic controller. Finally compare both controller responses for the given vehicle and choose a best controller among them. Key Terms: Steering assistance system, Roll over, Load transfer ratio (LTRd), PI controller, fuzzy logic controller","PeriodicalId":314672,"journal":{"name":"International Journal of Information System and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"STEERING CONTROL FOR ROLLOVER AVOIDANCE OF HEAVY VEHICLE USING FUZZY TUNED PI CONTROLLER\",\"authors\":\"Anjana Byju\",\"doi\":\"10.24924/ijise/2018.11/v6.iss2/128.141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this article is to develop an active steering assistance system in order to avoid the rollover of heavy vehicle. This approach is applied on single body model of heavy vehicle. The main objectives are to prevent rollover and minimize the deviation from the desired trajectory. The mathematical model of the vehicle is implemented using MATLAB as an initial a work. Then found a measure for potential rollover, considering the term Load transfer ratio (LTRd) for that. The simulation for varying parameters like speed and center height of gravity is also covered in this research. Hence analyze the system response by tuning the PI parameter using fuzzy logic controller. Finally compare both controller responses for the given vehicle and choose a best controller among them. Key Terms: Steering assistance system, Roll over, Load transfer ratio (LTRd), PI controller, fuzzy logic controller\",\"PeriodicalId\":314672,\"journal\":{\"name\":\"International Journal of Information System and Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information System and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24924/ijise/2018.11/v6.iss2/128.141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information System and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24924/ijise/2018.11/v6.iss2/128.141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
STEERING CONTROL FOR ROLLOVER AVOIDANCE OF HEAVY VEHICLE USING FUZZY TUNED PI CONTROLLER
The aim of this article is to develop an active steering assistance system in order to avoid the rollover of heavy vehicle. This approach is applied on single body model of heavy vehicle. The main objectives are to prevent rollover and minimize the deviation from the desired trajectory. The mathematical model of the vehicle is implemented using MATLAB as an initial a work. Then found a measure for potential rollover, considering the term Load transfer ratio (LTRd) for that. The simulation for varying parameters like speed and center height of gravity is also covered in this research. Hence analyze the system response by tuning the PI parameter using fuzzy logic controller. Finally compare both controller responses for the given vehicle and choose a best controller among them. Key Terms: Steering assistance system, Roll over, Load transfer ratio (LTRd), PI controller, fuzzy logic controller