{"title":"Generalized predictive control and delay compensation for high — Speed EMU network control system","authors":"Tong Zhang, Changxian Li, Zong-Liang Li","doi":"10.1109/ICCSNT.2017.8343751","DOIUrl":null,"url":null,"abstract":"Train communication network has become the application mainstream of EMU and urban rail traffic operation. However, practical problems such as transmission delay and packet loss of communication network can cause a significant threat to the train stability and operation safety. In this paper, the delay of the train communication network was studied and controlled, and the experimental platform was built to test and analyze the forward delay transmission characteristics of the train network. The self-adaptive prediction was achieved by using the autoregressive model. At the same time, the generalized predictive control method was designed to realize the control and delay compensation of the system. On the experimental platform, joint simulation method was used with the configuration software. The results showed that the proposed method is superior to the PID control, which can meet the real time control requirements of the high speed EMU operation process.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"278 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSNT.2017.8343751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Train communication network has become the application mainstream of EMU and urban rail traffic operation. However, practical problems such as transmission delay and packet loss of communication network can cause a significant threat to the train stability and operation safety. In this paper, the delay of the train communication network was studied and controlled, and the experimental platform was built to test and analyze the forward delay transmission characteristics of the train network. The self-adaptive prediction was achieved by using the autoregressive model. At the same time, the generalized predictive control method was designed to realize the control and delay compensation of the system. On the experimental platform, joint simulation method was used with the configuration software. The results showed that the proposed method is superior to the PID control, which can meet the real time control requirements of the high speed EMU operation process.