{"title":"神经网络在石化装置储罐液位控制中的应用","authors":"T. Tani, M. Umano, T. Sato, K. Tanaka","doi":"10.1109/IECON.1993.339059","DOIUrl":null,"url":null,"abstract":"This paper presents a control system for petrochemical plants using neural networks. Neural networks effectively simulate a well-experienced operator's procedure to control the tank level of the plant even in a transient state such as feed oil switching. This control system is applied to tank level control of a desulfurizing plant during feed oil switching, it can control the level effectively.<<ETX>>","PeriodicalId":132101,"journal":{"name":"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application of neural network to tank level control of petrochemical plants\",\"authors\":\"T. Tani, M. Umano, T. Sato, K. Tanaka\",\"doi\":\"10.1109/IECON.1993.339059\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a control system for petrochemical plants using neural networks. Neural networks effectively simulate a well-experienced operator's procedure to control the tank level of the plant even in a transient state such as feed oil switching. This control system is applied to tank level control of a desulfurizing plant during feed oil switching, it can control the level effectively.<<ETX>>\",\"PeriodicalId\":132101,\"journal\":{\"name\":\"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.1993.339059\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1993.339059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of neural network to tank level control of petrochemical plants
This paper presents a control system for petrochemical plants using neural networks. Neural networks effectively simulate a well-experienced operator's procedure to control the tank level of the plant even in a transient state such as feed oil switching. This control system is applied to tank level control of a desulfurizing plant during feed oil switching, it can control the level effectively.<>