{"title":"不确定和不完全信息条件下油气抽运系统离散目标控制分析","authors":"A. Sagdatullin","doi":"10.1109/RusAutoCon49822.2020.9208112","DOIUrl":null,"url":null,"abstract":"In this article, nonlinear object of oil and gas production of oilfield pumping station is investigated. Approach to design a classical control system is studied. The nonlinearity of the object due to the daily oil inflow fluctuations at the pumping station is shown. The features of objects and technological processes of oil and gas production, collection and treatment systems such as changes in the dynamic properties of objects, the uniformity of the structure and inherent characteristics of objects, the difficulty of formalizing a single objective function for managing an object, as well as determining an objective criterion due to an incomplete data set are described. It was revealed that for the effective control of an oil and gas pumping unit, it is necessary to know the following: the model of the control object, its functional structure, the formulated requirements and control criteria. According to the studied functional structure of the object the features are formulated for building control systems for this type of units. To identify the pumping station under conditions of an incomplete data set and uncertainty, the system on the basis of the method of difference equations and z-transformation is presented. The discrete Laplace transform for the considered function and the identification of the control object based on a linear autoregressive model are presented.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of a Discrete Object Control of Oil and Gas Pumping System under Uncertainty and Unfull Information Conditions\",\"authors\":\"A. Sagdatullin\",\"doi\":\"10.1109/RusAutoCon49822.2020.9208112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, nonlinear object of oil and gas production of oilfield pumping station is investigated. Approach to design a classical control system is studied. The nonlinearity of the object due to the daily oil inflow fluctuations at the pumping station is shown. The features of objects and technological processes of oil and gas production, collection and treatment systems such as changes in the dynamic properties of objects, the uniformity of the structure and inherent characteristics of objects, the difficulty of formalizing a single objective function for managing an object, as well as determining an objective criterion due to an incomplete data set are described. It was revealed that for the effective control of an oil and gas pumping unit, it is necessary to know the following: the model of the control object, its functional structure, the formulated requirements and control criteria. According to the studied functional structure of the object the features are formulated for building control systems for this type of units. To identify the pumping station under conditions of an incomplete data set and uncertainty, the system on the basis of the method of difference equations and z-transformation is presented. The discrete Laplace transform for the considered function and the identification of the control object based on a linear autoregressive model are presented.\",\"PeriodicalId\":101834,\"journal\":{\"name\":\"2020 International Russian Automation Conference (RusAutoCon)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Russian Automation Conference (RusAutoCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RusAutoCon49822.2020.9208112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Russian Automation Conference (RusAutoCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RusAutoCon49822.2020.9208112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of a Discrete Object Control of Oil and Gas Pumping System under Uncertainty and Unfull Information Conditions
In this article, nonlinear object of oil and gas production of oilfield pumping station is investigated. Approach to design a classical control system is studied. The nonlinearity of the object due to the daily oil inflow fluctuations at the pumping station is shown. The features of objects and technological processes of oil and gas production, collection and treatment systems such as changes in the dynamic properties of objects, the uniformity of the structure and inherent characteristics of objects, the difficulty of formalizing a single objective function for managing an object, as well as determining an objective criterion due to an incomplete data set are described. It was revealed that for the effective control of an oil and gas pumping unit, it is necessary to know the following: the model of the control object, its functional structure, the formulated requirements and control criteria. According to the studied functional structure of the object the features are formulated for building control systems for this type of units. To identify the pumping station under conditions of an incomplete data set and uncertainty, the system on the basis of the method of difference equations and z-transformation is presented. The discrete Laplace transform for the considered function and the identification of the control object based on a linear autoregressive model are presented.