Implementation of a Decentralized PID Control System on an Experimental Platform Using LabVIEW
In this paper, the implementation of a decentralized control system is done on an experimental platform, which is dedicated to the study of fouling in industrial tubes. This plant is modelled as a multivariable system of order 2 × 2, whose the inputs are the voltage and current applied respectively...
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Veröffentlicht in: | Revista IEEE América Latina 2017-02, Vol.15 (2), p.213-218 |
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description | In this paper, the implementation of a decentralized control system is done on an experimental platform, which is dedicated to the study of fouling in industrial tubes. This plant is modelled as a multivariable system of order 2 × 2, whose the inputs are the voltage and current applied respectively in the plant actuators, and the outputs are flow and pressure measurements obtained by sensors in the main tube. The decentralized PID control system is performed by a supervisory system developed in LabVIEW software to verify the impact of fouling on the current behavior of the experimental platform, and thus enable performing predictive maintenance. |
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This plant is modelled as a multivariable system of order 2 × 2, whose the inputs are the voltage and current applied respectively in the plant actuators, and the outputs are flow and pressure measurements obtained by sensors in the main tube. The decentralized PID control system is performed by a supervisory system developed in LabVIEW software to verify the impact of fouling on the current behavior of the experimental platform, and thus enable performing predictive maintenance.</description><identifier>ISSN: 1548-0992</identifier><identifier>EISSN: 1548-0992</identifier><identifier>DOI: 10.1109/TLA.2017.7854614</identifier><language>eng</language><publisher>Los Alamitos: IEEE</publisher><subject>Actuators ; Control systems ; Decentralized control ; Decentralized Control System ; Electrical engineering ; Experimental Platform ; Fouling ; IEEE transactions ; LabVIEW ; MIMO ; Performance prediction ; PI control ; Predictive maintenance ; Process control ; Proportional integral derivative ; Sensors ; Software ; Tubes</subject><ispartof>Revista IEEE América Latina, 2017-02, Vol.15 (2), p.213-218</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The decentralized PID control system is performed by a supervisory system developed in LabVIEW software to verify the impact of fouling on the current behavior of the experimental platform, and thus enable performing predictive maintenance.</description><subject>Actuators</subject><subject>Control systems</subject><subject>Decentralized control</subject><subject>Decentralized Control System</subject><subject>Electrical engineering</subject><subject>Experimental Platform</subject><subject>Fouling</subject><subject>IEEE transactions</subject><subject>LabVIEW</subject><subject>MIMO</subject><subject>Performance prediction</subject><subject>PI control</subject><subject>Predictive maintenance</subject><subject>Process control</subject><subject>Proportional integral derivative</subject><subject>Sensors</subject><subject>Software</subject><subject>Tubes</subject><issn>1548-0992</issn><issn>1548-0992</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNUFFLwzAQDqLgnL4LvgR8bk3SJE0exza1UHDgpm-GrE2lo21q0oHz15u5KXIPd9_d990dHwDXGMUYI3m3zCcxQTiNU8Eox_QEjDCjIkJSktN_9Tm48H6DUCK4SEbgLWv7xrSmG_RQ2w7aCmo4M0VoON3UX6aEi2wGpzZg28DnnR9MCwNRd3D-2RtX_2gbuGj0UFnXwpWvu3eY6_VLNn-9BGeVbry5OuYxWN3Pl9PHKH96yKaTPCoIwUPEdckI4jylIWQpkBYVIQWlEqWYIaml4Inke7wWUlDBK8IZYuuUpaVhKBmD28Pe3tmPrfGD2tit68JJhQWXlGCKWGChA6tw1ntnKtWH_7XbKYzU3kUVXFR7F9XRxSC5OUhqY8wf_Xf6DVNHay8</recordid><startdate>20170201</startdate><enddate>20170201</enddate><creator>Rodrigues de Melo, Thamiles</creator><creator>Jo da Silva, Jaidilson</creator><creator>da Rocha Neto, Jose Sergio</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20170201</creationdate><title>Implementation of a Decentralized PID Control System on an Experimental Platform Using LabVIEW</title><author>Rodrigues de Melo, Thamiles ; Jo da Silva, Jaidilson ; da Rocha Neto, Jose Sergio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c221t-6ad52066747479d80a8f22c449071509a9863964490b898486f26505b757de503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Actuators</topic><topic>Control systems</topic><topic>Decentralized control</topic><topic>Decentralized Control System</topic><topic>Electrical engineering</topic><topic>Experimental Platform</topic><topic>Fouling</topic><topic>IEEE transactions</topic><topic>LabVIEW</topic><topic>MIMO</topic><topic>Performance prediction</topic><topic>PI control</topic><topic>Predictive maintenance</topic><topic>Process control</topic><topic>Proportional integral derivative</topic><topic>Sensors</topic><topic>Software</topic><topic>Tubes</topic><toplevel>online_resources</toplevel><creatorcontrib>Rodrigues de Melo, Thamiles</creatorcontrib><creatorcontrib>Jo da Silva, Jaidilson</creatorcontrib><creatorcontrib>da Rocha Neto, Jose Sergio</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Revista IEEE América Latina</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rodrigues de Melo, Thamiles</au><au>Jo da Silva, Jaidilson</au><au>da Rocha Neto, Jose Sergio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implementation of a Decentralized PID Control System on an Experimental Platform Using LabVIEW</atitle><jtitle>Revista IEEE América Latina</jtitle><stitle>T-LA</stitle><date>2017-02-01</date><risdate>2017</risdate><volume>15</volume><issue>2</issue><spage>213</spage><epage>218</epage><pages>213-218</pages><issn>1548-0992</issn><eissn>1548-0992</eissn><abstract>In this paper, the implementation of a decentralized control system is done on an experimental platform, which is dedicated to the study of fouling in industrial tubes. This plant is modelled as a multivariable system of order 2 × 2, whose the inputs are the voltage and current applied respectively in the plant actuators, and the outputs are flow and pressure measurements obtained by sensors in the main tube. The decentralized PID control system is performed by a supervisory system developed in LabVIEW software to verify the impact of fouling on the current behavior of the experimental platform, and thus enable performing predictive maintenance.</abstract><cop>Los Alamitos</cop><pub>IEEE</pub><doi>10.1109/TLA.2017.7854614</doi><tpages>6</tpages></addata></record> |
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subjects | Actuators Control systems Decentralized control Decentralized Control System Electrical engineering Experimental Platform Fouling IEEE transactions LabVIEW MIMO Performance prediction PI control Predictive maintenance Process control Proportional integral derivative Sensors Software Tubes |
title | Implementation of a Decentralized PID Control System on an Experimental Platform Using LabVIEW |
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