{"title":"不确定条件下管道系统比例法的建模与分析","authors":"Can Cui, W. Cai, Haoran Chen","doi":"10.1109/ICCA.2017.8003184","DOIUrl":null,"url":null,"abstract":"This paper presents a detailed study on the performance, generality and robustness of proportional method. A probabilistic model was proposed to predict the number of iterations needed for air balancing under different sensor uncertainties. This model was later validated by simulations in a duct system with 12 nodes and 20 branches. And the correlation between the efficiency of proportional method and sensor uncertainty were estimated based on the proposed model.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling and analysis of proportional method in duct systems under uncertainty\",\"authors\":\"Can Cui, W. Cai, Haoran Chen\",\"doi\":\"10.1109/ICCA.2017.8003184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a detailed study on the performance, generality and robustness of proportional method. A probabilistic model was proposed to predict the number of iterations needed for air balancing under different sensor uncertainties. This model was later validated by simulations in a duct system with 12 nodes and 20 branches. And the correlation between the efficiency of proportional method and sensor uncertainty were estimated based on the proposed model.\",\"PeriodicalId\":379025,\"journal\":{\"name\":\"2017 13th IEEE International Conference on Control & Automation (ICCA)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th IEEE International Conference on Control & Automation (ICCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCA.2017.8003184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th IEEE International Conference on Control & Automation (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2017.8003184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling and analysis of proportional method in duct systems under uncertainty
This paper presents a detailed study on the performance, generality and robustness of proportional method. A probabilistic model was proposed to predict the number of iterations needed for air balancing under different sensor uncertainties. This model was later validated by simulations in a duct system with 12 nodes and 20 branches. And the correlation between the efficiency of proportional method and sensor uncertainty were estimated based on the proposed model.