{"title":"Fuzzy logic based automatic braking system in trains","authors":"G. Sankar, S. Kumar.","doi":"10.1109/TENCON.2006.344218","DOIUrl":null,"url":null,"abstract":"This paper focuses on a new approach to braking system in train, by the using the technique of artificial intelligence applied to it. The intelligence for braking is provided by a fuzzy logic controller. The fuzzy logic controller is simulated using Matlab-Simulink fuzzy logic toolbox. Generally the Indian railways use two persons to operate a train and they employ a manual procedure for stopping the train in each station. The proposed fuzzy logic controller helps in reduction of manpower for the train operation. The simulated fuzzy logic controller gets activated at about 500 m from the station based on its decision with reference to the speed and distance, the train stops at the station smoothly and automatically.","PeriodicalId":227812,"journal":{"name":"2006 India International Conference on Power Electronics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 India International Conference on Power Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2006.344218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This paper focuses on a new approach to braking system in train, by the using the technique of artificial intelligence applied to it. The intelligence for braking is provided by a fuzzy logic controller. The fuzzy logic controller is simulated using Matlab-Simulink fuzzy logic toolbox. Generally the Indian railways use two persons to operate a train and they employ a manual procedure for stopping the train in each station. The proposed fuzzy logic controller helps in reduction of manpower for the train operation. The simulated fuzzy logic controller gets activated at about 500 m from the station based on its decision with reference to the speed and distance, the train stops at the station smoothly and automatically.