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Gas-oil ratio self tuning controller in gas lift system 气举系统气油比自整定控制器
The 3rd International Conference on Control, Instrumentation, and Automation Pub Date : 2013-12-01 DOI: 10.1109/ICCIAUTOM.2013.6912829
M. Gheybe, A. Mirzaee, R. Talebi, A. Suratgar
{"title":"Gas-oil ratio self tuning controller in gas lift system","authors":"M. Gheybe, A. Mirzaee, R. Talebi, A. Suratgar","doi":"10.1109/ICCIAUTOM.2013.6912829","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912829","url":null,"abstract":"This paper proposes a natural gas-lift system to increases production efficiency in smart wells. The main idea is to design an appropriate controller that improves reservoir condition and increases the well cumulated oil production by controlling the daily gas-oil ratio (GOR). In the proposed system, the procedure of injecting gas is entered into the well in a controlled way which a self-tuning controller is used to manage daily GOR. One of the most considerable advantages of this method is that daily GOR sets by the controller as proportion of earlier days actual GOR and optimal GOR; so it is independent of gas injection - producing oil system dynamics behavior.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122641429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Design and implementation of weft density feedback control system on weaving loom 织布机纬密度反馈控制系统的设计与实现
The 3rd International Conference on Control, Instrumentation, and Automation Pub Date : 2013-12-01 DOI: 10.1109/ICCIAUTOM.2013.6912852
A. A. Zefrehyee, M. A. Tehran, H. Nosraty, M. Aghajani
{"title":"Design and implementation of weft density feedback control system on weaving loom","authors":"A. A. Zefrehyee, M. A. Tehran, H. Nosraty, M. Aghajani","doi":"10.1109/ICCIAUTOM.2013.6912852","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912852","url":null,"abstract":"Weft density has been considered as one of the most effective factors on woven fabric construction and it is influenced physical and mechanical fabric properties. Therefore, we developed a closed loop control system in a weaving machine. The manipulator element was take-up roller rotation speed. The weft density was measured by means of a special computational image processing routine. The PID control algorithm used to calculate the desired modification of take-up speed. However, the existing variable delay on the sensing weft density variation by the measuring system causes the conventional PID control system to have been disabled in providing robust action, so the control system was utilized by the Smith predictor to modify control behavior. To adjust control parameters, the function of the weaving machine has been investigated and a simulated model of the weaving process was constructed. The result of set point tracing and regulatory control in various tests indicated satisfactory performance of our new system.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124933096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Adaptive fourier series-based control of electrically driven robot manipulators 基于自适应傅立叶级数的电动机械臂控制
The 3rd International Conference on Control, Instrumentation, and Automation Pub Date : 2013-12-01 DOI: 10.1109/ICCIAUTOM.2013.6912837
S. Khorashadizadeh, M. Fateh
{"title":"Adaptive fourier series-based control of electrically driven robot manipulators","authors":"S. Khorashadizadeh, M. Fateh","doi":"10.1109/ICCIAUTOM.2013.6912837","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912837","url":null,"abstract":"This paper presents a novel adaptive control for electrically driven robot manipulators based on the voltage control strategy. The control law is designed using a nominal model. Then, Fourier series is applied to estimate the uncertainty originated from the mismatch between the actual model and nominal model. The uncertainty includes parametric uncertainty, un-modeled dynamics and external disturbance. The adaptation laws for the coefficients of the Fourier series are derived from a Lyapunov function to guarantee the closed loop stability. The approximation error is then compensated to provide the asymptotically convergence of the tracking error. The case study is an articulated robot manipulator driven by permanent magnet DC motors. Simulation results show the effectiveness of the proposed method.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123428790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
Combined gradient and Iterative Learning Control method for magnetostatic inverse problem 静磁逆问题的梯度与迭代学习联合控制方法
The 3rd International Conference on Control, Instrumentation, and Automation Pub Date : 2013-12-01 DOI: 10.1109/ICCIAUTOM.2013.6912859
Alireza Dehghani-Pilehvarani, P. Karimaghaee, A. Khayatian
{"title":"Combined gradient and Iterative Learning Control method for magnetostatic inverse problem","authors":"Alireza Dehghani-Pilehvarani, P. Karimaghaee, A. Khayatian","doi":"10.1109/ICCIAUTOM.2013.6912859","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912859","url":null,"abstract":"In this paper, a new approach to solve the magnetostatic inverse problem is proposed. The goal of the paper is to place magnetic sources and to specify their locations and intensities from the measurements of a desired magnetic field in the air. In this work, it is assumed that the magnetic sources are coils which their locations and ampere turns must be determined. By using gradient method, coils locations are specified by finding extremum of the desired measured magnetic field and with the Iterative Learning Control, coils ampere turns are determined. Selection of correction term in Iterative Learning Control is the most important part of the controller design which dramatically affects the convergence of the method. The most important merit of the proposed method is its simplicity for implementation. The simulation results of the method show the accuracy and effectiveness of the proposed technique.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127112262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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