Robust model predictive control and PID control of shell-and-tube heat exchangers
Robust model predictive control (MPC) with integral action is designed for the shell-and-tube heat exchangers that are a part of an industrial heat-exchanger network. The advanced control strategy is used for optimizing the control performance as fouling influences operation of the heat exchangers a...
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| Veröffentlicht in: | Energy (Oxford) 2018-09, Vol.159, p.1-10 |
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| creator | Oravec, Juraj Bakošová, Monika Trafczynski, Marian Vasičkaninová, Anna Mészáros, Alajos Markowski, Mariusz |
| description | Robust model predictive control (MPC) with integral action is designed for the shell-and-tube heat exchangers that are a part of an industrial heat-exchanger network. The advanced control strategy is used for optimizing the control performance as fouling influences operation of the heat exchangers and causes changes of the heat exchangers' parameters. The time-varying parameters of the heat exchangers are considered as parametric uncertainties and robust MPC is used as it is able to handle processes with uncertainties. Integral action is implemented in the robust MPC to assure offset-free control responses. The extensive simulation case study of the robust MPC and proportional-integral-derivative (PID) control of the shell-and-tube heat exchangers confirms significantly improved control performance and energy savings when the newly designed robust MPC with integral action is used.
•Time-varying fouling in heat exchangers was modelled by parametric uncertainty.•Robust MPC with integral action ensured offset-free control performance.•Robust MPC outperformed PID control in the servo and regulatory problems.•Robust MPC ensured significant energy savings. |
| doi_str_mv | 10.1016/j.energy.2018.06.106 |
| format | Article |
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•Time-varying fouling in heat exchangers was modelled by parametric uncertainty.•Robust MPC with integral action ensured offset-free control performance.•Robust MPC outperformed PID control in the servo and regulatory problems.•Robust MPC ensured significant energy savings.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2018.06.106</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Case studies ; Computer simulation ; Convex optimization ; Energy conservation ; Energy savings ; Heat ; Heat exchangers ; Mathematical models ; Model predictive control ; Parameter uncertainty ; PID control ; Predictive control ; Proportional integral derivative ; Robust control ; Robustness (mathematics) ; Shell-and-tube heat exchangers ; Simulation ; Tube heat exchangers ; Uncertainty</subject><ispartof>Energy (Oxford), 2018-09, Vol.159, p.1-10</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier BV Sep 15, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-6e37b13d6b8b6dfe8e3e97b4c1d62ce259ea870cac0b7d20ec927e6033d4cb6a3</citedby><cites>FETCH-LOGICAL-c371t-6e37b13d6b8b6dfe8e3e97b4c1d62ce259ea870cac0b7d20ec927e6033d4cb6a3</cites><orcidid>0000-0002-1253-3192</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.energy.2018.06.106$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Oravec, Juraj</creatorcontrib><creatorcontrib>Bakošová, Monika</creatorcontrib><creatorcontrib>Trafczynski, Marian</creatorcontrib><creatorcontrib>Vasičkaninová, Anna</creatorcontrib><creatorcontrib>Mészáros, Alajos</creatorcontrib><creatorcontrib>Markowski, Mariusz</creatorcontrib><title>Robust model predictive control and PID control of shell-and-tube heat exchangers</title><title>Energy (Oxford)</title><description>Robust model predictive control (MPC) with integral action is designed for the shell-and-tube heat exchangers that are a part of an industrial heat-exchanger network. The advanced control strategy is used for optimizing the control performance as fouling influences operation of the heat exchangers and causes changes of the heat exchangers' parameters. The time-varying parameters of the heat exchangers are considered as parametric uncertainties and robust MPC is used as it is able to handle processes with uncertainties. Integral action is implemented in the robust MPC to assure offset-free control responses. The extensive simulation case study of the robust MPC and proportional-integral-derivative (PID) control of the shell-and-tube heat exchangers confirms significantly improved control performance and energy savings when the newly designed robust MPC with integral action is used.
•Time-varying fouling in heat exchangers was modelled by parametric uncertainty.•Robust MPC with integral action ensured offset-free control performance.•Robust MPC outperformed PID control in the servo and regulatory problems.•Robust MPC ensured significant energy savings.</description><subject>Case studies</subject><subject>Computer simulation</subject><subject>Convex optimization</subject><subject>Energy conservation</subject><subject>Energy savings</subject><subject>Heat</subject><subject>Heat exchangers</subject><subject>Mathematical models</subject><subject>Model predictive control</subject><subject>Parameter uncertainty</subject><subject>PID control</subject><subject>Predictive control</subject><subject>Proportional integral derivative</subject><subject>Robust control</subject><subject>Robustness (mathematics)</subject><subject>Shell-and-tube heat exchangers</subject><subject>Simulation</subject><subject>Tube heat exchangers</subject><subject>Uncertainty</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kFtLxDAQhYMouK7-Ax8CPrfm0ibtiyDrbUHwgj6HJpnutnSbNUkX99_bpeKjT8PMnHOG-RC6pCSlhIrrNoUe_GqfMkKLlIhxKo7QjBaSJ0IW-TGaES5IkmcZO0VnIbSEkLwoyxl6e3d6CBFvnIUObz3YxsRmB9i4PnrX4aq3-HV599e7Goc1dF0yLpI4aMBrqCKGb7Ou-hX4cI5O6qoLcPFb5-jz4f5j8ZQ8vzwuF7fPieGSxkQAl5pyK3Shha2hAA6l1JmhVjADLC-hKiQxlSFaWkbAlEyCIJzbzGhR8Tm6mnK33n0NEKJq3eD78aRilOaMM8bFqMomlfEuBA-12vpmU_m9okQd4KlWTfDUAZ4iYpwebDeTDcYPdg14FUwDvRnxeDBRWdf8H_ADJjB6zQ</recordid><startdate>20180915</startdate><enddate>20180915</enddate><creator>Oravec, Juraj</creator><creator>Bakošová, Monika</creator><creator>Trafczynski, Marian</creator><creator>Vasičkaninová, Anna</creator><creator>Mészáros, Alajos</creator><creator>Markowski, Mariusz</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-1253-3192</orcidid></search><sort><creationdate>20180915</creationdate><title>Robust model predictive control and PID control of shell-and-tube heat exchangers</title><author>Oravec, Juraj ; Bakošová, Monika ; Trafczynski, Marian ; Vasičkaninová, Anna ; Mészáros, Alajos ; Markowski, Mariusz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-6e37b13d6b8b6dfe8e3e97b4c1d62ce259ea870cac0b7d20ec927e6033d4cb6a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Case studies</topic><topic>Computer simulation</topic><topic>Convex optimization</topic><topic>Energy conservation</topic><topic>Energy savings</topic><topic>Heat</topic><topic>Heat exchangers</topic><topic>Mathematical models</topic><topic>Model predictive control</topic><topic>Parameter uncertainty</topic><topic>PID control</topic><topic>Predictive control</topic><topic>Proportional integral derivative</topic><topic>Robust control</topic><topic>Robustness (mathematics)</topic><topic>Shell-and-tube heat exchangers</topic><topic>Simulation</topic><topic>Tube heat exchangers</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oravec, Juraj</creatorcontrib><creatorcontrib>Bakošová, Monika</creatorcontrib><creatorcontrib>Trafczynski, Marian</creatorcontrib><creatorcontrib>Vasičkaninová, Anna</creatorcontrib><creatorcontrib>Mészáros, Alajos</creatorcontrib><creatorcontrib>Markowski, Mariusz</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oravec, Juraj</au><au>Bakošová, Monika</au><au>Trafczynski, Marian</au><au>Vasičkaninová, Anna</au><au>Mészáros, Alajos</au><au>Markowski, Mariusz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust model predictive control and PID control of shell-and-tube heat exchangers</atitle><jtitle>Energy (Oxford)</jtitle><date>2018-09-15</date><risdate>2018</risdate><volume>159</volume><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>Robust model predictive control (MPC) with integral action is designed for the shell-and-tube heat exchangers that are a part of an industrial heat-exchanger network. The advanced control strategy is used for optimizing the control performance as fouling influences operation of the heat exchangers and causes changes of the heat exchangers' parameters. The time-varying parameters of the heat exchangers are considered as parametric uncertainties and robust MPC is used as it is able to handle processes with uncertainties. Integral action is implemented in the robust MPC to assure offset-free control responses. The extensive simulation case study of the robust MPC and proportional-integral-derivative (PID) control of the shell-and-tube heat exchangers confirms significantly improved control performance and energy savings when the newly designed robust MPC with integral action is used.
•Time-varying fouling in heat exchangers was modelled by parametric uncertainty.•Robust MPC with integral action ensured offset-free control performance.•Robust MPC outperformed PID control in the servo and regulatory problems.•Robust MPC ensured significant energy savings.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2018.06.106</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1253-3192</orcidid></addata></record> |
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| ispartof | Energy (Oxford), 2018-09, Vol.159, p.1-10 |
| issn | 0360-5442 1873-6785 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Case studies Computer simulation Convex optimization Energy conservation Energy savings Heat Heat exchangers Mathematical models Model predictive control Parameter uncertainty PID control Predictive control Proportional integral derivative Robust control Robustness (mathematics) Shell-and-tube heat exchangers Simulation Tube heat exchangers Uncertainty |
| title | Robust model predictive control and PID control of shell-and-tube heat exchangers |
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