Hybrid method based on particle filter and NARX for real-time flow rate estimation in multi-product pipelines

2020 ◽  
Vol 88 ◽  
pp. 19-31 ◽  
Author(s):  
Lei He ◽  
Kai Wen ◽  
Changchun Wu ◽  
Jing Gong ◽  
Xie Ping
2021 ◽  
Vol 11 (15) ◽  
pp. 6701
Author(s):  
Yuta Sueki ◽  
Yoshiyuki Noda

This paper discusses a real-time flow-rate estimation method for a tilting-ladle-type automatic pouring machine used in the casting industry. In most pouring machines, molten metal is poured into a mold by tilting the ladle. Precise pouring is required to improve productivity and ensure a safe pouring process. To achieve precise pouring, it is important to control the flow rate of the liquid outflow from the ladle. However, due to the high temperature of molten metal, directly measuring the flow rate to devise flow-rate feedback control is difficult. To solve this problem, specific flow-rate estimation methods have been developed. In the previous study by present authors, a simplified flow-rate estimation method was proposed, in which Kalman filters were decentralized to motor systems and the pouring process for implementing into the industrial controller of an automatic pouring machine used a complicatedly shaped ladle. The effectiveness of this flow rate estimation was verified in the experiment with the ideal condition. In the present study, the appropriateness of the real-time flow-rate estimation by decentralization of Kalman filters is verified by comparing it with two other types of existing real-time flow-rate estimations, i.e., time derivatives of the weight of the outflow liquid measured by the load cell and the liquid volume in the ladle measured by a visible camera. We especially confirmed the estimation errors of the candidate real-time flow-rate estimations in the experiments with the uncertainty of the model parameters. These flow-rate estimation methods were applied to a laboratory-type automatic pouring machine to verify their performance.


2016 ◽  
Vol 28 (6) ◽  
pp. 854-861 ◽  
Author(s):  
Tadayoshi Aoyama ◽  
◽  
Amalka De Zoysa ◽  
Qingyi Gu ◽  
Takeshi Takaki ◽  
...  

[abstFig src='/00280006/09.jpg' width='300' text='Snapshots of particle sorting experiment using our system' ] On-chip cell analysis is an important issue for microtechnology research, and microfluidic devices are frequently used in on-chip cell analysis systems. One approach to controlling the fluid flow in microfluidic devices for cell analysis is to use a suitable pumps. However, it is difficult to control the actual flow-rate in a microfluidic device because of the difficulty in placing flow-rate sensors in the device. In this study, we developed a real-time flow-rate control system that uses syringe pumps and high-speed vision to measure the actual fluid flow in microfluidic devices. The developed flow-rate control system was verified through experiments on microparticle velocity control and microparticle sorting.


2015 ◽  
Vol 2015 (0) ◽  
pp. _1P1-M03_1-_1P1-M03_2
Author(s):  
Tadayoshi AOYAMA ◽  
Zoysa Amalka ◽  
Qingyi GU ◽  
Takeshi TAKAKI ◽  
Idaku ISHII

Author(s):  
Tadayoshi Aoyama ◽  
Amalka De Zoysa ◽  
Qingyi Gu ◽  
Takeshi Takaki ◽  
Idaku Ishii

2020 ◽  
pp. 039139882098448
Author(s):  
Shuya Shida ◽  
Toru Masuzawa ◽  
Masahiro Osa

Implantable ventricular assist devices are used in heart failure therapy. These devices require real-time flow rate estimation for effective mechanical circulatory support. We previously developed a flow rate estimation method using the eccentric position of a magnetically levitated impeller to achieve real-time estimation. However, dynamic motion of the levitated impeller can compromise the method’s performance. Therefore, in this study, we investigated the effects of dynamic motion of the levitated impeller on the time resolution and estimation accuracy of the proposed method. The magnetically levitated impeller was axially suspended and radially restricted by the passive stability in a centrifugal blood pump that we developed. The dynamic motions of impeller rotation and whirling were analyzed at various operating conditions to evaluate the reliability of estimation. The vibration response curves of the impeller revealed that the resonant rotational speed was 1300–1400 revolutions per minute (rpm). The blood pump was used as a ventricular assist device with rotational speed (over 1800 rpm) sufficiently higher than the resonant speed. The rotor-dynamic forces on the impeller (0.03–0.14 N) suppressed the whirling motion of the impeller, indicating that the dynamic motion could be stable. Although the temporal responsiveness should be determined based on the trade-offs among the estimation accuracy and time resolution, the real-time estimation capability of the proposed method was confirmed.


2010 ◽  
Vol 50 (1) ◽  
pp. 163 ◽  
Author(s):  
Prashant Haldipur ◽  
Peter Chow

This paper presents field experiences with the implementation of virtual well metering technology on the North West Shelf (NWS) of Western Australia. This technology is used to obtain well-by-well flow rate estimates using conventional pressure and temperature instrumentation in a wellbore and Christmas tree without the need for expensive multiphase flow meters. Best practices in project execution—including specifications, acceptance testing and commissioning procedures—are presented for deploying this advanced technology. The paper focusses on two NWS gas-condensate developments operated by Woodside Energy Ltd (WEL) on behalf of the NWS joint venture partners: the Perseus over Goodwyn (PoG) project, which is a four well subsea development of the Perseus and Searipple fields that tie back to the Goodwyn A platform; and a three well subsea development for the Angel field. The PoG virtual metering system (VMS) was commissioned in October 2007 and the Angel VMS more recently in February 2009. The paper compares field data and shows that this technology has provided very reliable and accurate flow rate predictions; historical data suggests that monthly reconciliation factors as low as 3–5% can be achieved. Virtual metering systems are a cost effective and reliable means to obtain well-by-well flow rates. Besides enabling better reservoir management, these well metering systems are easily integrated with real-time pipeline monitoring systems to enable reliable subsea operations. An integrated virtual metering and pipeline management system that includes look-ahead forecasting capabilities and guidance for real-time flow assurance on operational issues, such as hydrate formation and detection of restriction, is being developed for the Pluto field.


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