Droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic device

Most of the research studies nowadays are trying to bring automation to biomedical engineering and Lab on a Chip which is fast growing interdisciplinary field and has attracted researchers from various fields. The objective of this paper is to present an overall system to control droplet movement in...

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Main Authors: Faisal Mehmood, Zeeshan Haider, Umar Farooq, Yin Baoqun
Format: Article
Language:English
Published: SAGE Publishing 2019-11-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/0020294019877506
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spelling doaj-d508585be6cd4c2190f4372e0af9acb42020-11-25T03:51:43ZengSAGE PublishingMeasurement + Control0020-29402019-11-015210.1177/0020294019877506Droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic deviceFaisal Mehmood0Zeeshan Haider1Umar Farooq2Yin Baoqun3Department of Automation, University of Science and Technology of China (USTC), Hefei, ChinaDepartment of Biomedical Engineering, School of Information Science and Technology, University of Science and Technology of China (USTC), Hefei, ChinaCollege of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, ChinaDepartment of Automation, University of Science and Technology of China (USTC), Hefei, ChinaMost of the research studies nowadays are trying to bring automation to biomedical engineering and Lab on a Chip which is fast growing interdisciplinary field and has attracted researchers from various fields. The objective of this paper is to present an overall system to control droplet movement inside microfluidic channel using fuzzy logic controller, image processing algorithm, and microvalves installed within microfluidic channel. A state space model has been derived from circuit analogy approach to describe the microfluidic network. Furthermore, a COMSOL-based study is primed for device structure by means of droplet generation and controlling the droplet through fitted valves. Moreover, an image processing algorithm based on active contours has been proposed in this research to track the movement of the droplet through the channel. This droplet controlling method is utterly based on fuzzy controller as well as camera images to move the droplet at desired position by controlling flow rates inside the fluidic channel using valves installed inside the microfluidic device. The results indicate that the fuzzy logic controller performs much better in terms of stability and faster response as compared to conventional proportional–integral–derivative controller.https://doi.org/10.1177/0020294019877506
collection DOAJ
language English
format Article
sources DOAJ
author Faisal Mehmood
Zeeshan Haider
Umar Farooq
Yin Baoqun
spellingShingle Faisal Mehmood
Zeeshan Haider
Umar Farooq
Yin Baoqun
Droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic device
Measurement + Control
author_facet Faisal Mehmood
Zeeshan Haider
Umar Farooq
Yin Baoqun
author_sort Faisal Mehmood
title Droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic device
title_short Droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic device
title_full Droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic device
title_fullStr Droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic device
title_full_unstemmed Droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic device
title_sort droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic device
publisher SAGE Publishing
series Measurement + Control
issn 0020-2940
publishDate 2019-11-01
description Most of the research studies nowadays are trying to bring automation to biomedical engineering and Lab on a Chip which is fast growing interdisciplinary field and has attracted researchers from various fields. The objective of this paper is to present an overall system to control droplet movement inside microfluidic channel using fuzzy logic controller, image processing algorithm, and microvalves installed within microfluidic channel. A state space model has been derived from circuit analogy approach to describe the microfluidic network. Furthermore, a COMSOL-based study is primed for device structure by means of droplet generation and controlling the droplet through fitted valves. Moreover, an image processing algorithm based on active contours has been proposed in this research to track the movement of the droplet through the channel. This droplet controlling method is utterly based on fuzzy controller as well as camera images to move the droplet at desired position by controlling flow rates inside the fluidic channel using valves installed inside the microfluidic device. The results indicate that the fuzzy logic controller performs much better in terms of stability and faster response as compared to conventional proportional–integral–derivative controller.
url https://doi.org/10.1177/0020294019877506
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AT zeeshanhaider dropletmovementcontrolusingfuzzylogiccontrollerandimageprocessingalongwithpinvalvesinsidemicrofluidicdevice
AT umarfarooq dropletmovementcontrolusingfuzzylogiccontrollerandimageprocessingalongwithpinvalvesinsidemicrofluidicdevice
AT yinbaoqun dropletmovementcontrolusingfuzzylogiccontrollerandimageprocessingalongwithpinvalvesinsidemicrofluidicdevice
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