Bioreactor temperature control using modified fractional order IMC-PID for ethanol production
[Display omitted] •Modified fractional order IMC-PID (MFOIMC-PID) is proposed for temperature control.•Water cycle algorithm is used to estimate the parameters of MFOIMC-PID.•Performance of MFOIMC-PID is compared with PID and fractional order PID (FOPID).•Production of ethanol is found higher in cas...
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Veröffentlicht in: | Chemical engineering research & design 2017-06, Vol.122, p.97-112 |
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creator | Pachauri, Nikhil Rani, Asha Singh, Vijander |
description | [Display omitted]
•Modified fractional order IMC-PID (MFOIMC-PID) is proposed for temperature control.•Water cycle algorithm is used to estimate the parameters of MFOIMC-PID.•Performance of MFOIMC-PID is compared with PID and fractional order PID (FOPID).•Production of ethanol is found higher in case of MFOIMC-PID.
The product quality of a fermentation process depends on a number of factors such as temperature, pH, nutrient balance, dilution rate, dissolved oxygen and CO2 concentration etc. The present work focuses on the precise temperature control of the process and to achieve desired product quality. Therefore a novel control algorithm, which is an amalgamation of fractional mathematics and IMC-PID, having less design parameters is proposed. A fractional order IMC-PID is designed and then modified (MFOIMC-PID) by incorporating an extra control loop with proportional gain to reduce the offset error. A nature inspired optimization technique i.e. water cycle algorithm is utilized for estimation of optimum design parameters of proposed controller which leads to WMFOIMC-PID controller. Fractional order PID (FOPID) and conventional PID are also designed for comparative study. Simulation results show that the proposed controller reduces integral absolute error (IAE) by 57% and 72% in comparison to FOPID and PID respectively for set-point tracking. Similar reduction of IAE is observed for disturbance rejection and noise suppression. Thus WMFOIMC-PID proves to be more robust and efficient in comparison to the other designed controllers. |
doi_str_mv | 10.1016/j.cherd.2017.03.031 |
format | Article |
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•Modified fractional order IMC-PID (MFOIMC-PID) is proposed for temperature control.•Water cycle algorithm is used to estimate the parameters of MFOIMC-PID.•Performance of MFOIMC-PID is compared with PID and fractional order PID (FOPID).•Production of ethanol is found higher in case of MFOIMC-PID.
The product quality of a fermentation process depends on a number of factors such as temperature, pH, nutrient balance, dilution rate, dissolved oxygen and CO2 concentration etc. The present work focuses on the precise temperature control of the process and to achieve desired product quality. Therefore a novel control algorithm, which is an amalgamation of fractional mathematics and IMC-PID, having less design parameters is proposed. A fractional order IMC-PID is designed and then modified (MFOIMC-PID) by incorporating an extra control loop with proportional gain to reduce the offset error. A nature inspired optimization technique i.e. water cycle algorithm is utilized for estimation of optimum design parameters of proposed controller which leads to WMFOIMC-PID controller. Fractional order PID (FOPID) and conventional PID are also designed for comparative study. Simulation results show that the proposed controller reduces integral absolute error (IAE) by 57% and 72% in comparison to FOPID and PID respectively for set-point tracking. Similar reduction of IAE is observed for disturbance rejection and noise suppression. Thus WMFOIMC-PID proves to be more robust and efficient in comparison to the other designed controllers.</description><identifier>ISSN: 0263-8762</identifier><identifier>EISSN: 1744-3563</identifier><identifier>DOI: 10.1016/j.cherd.2017.03.031</identifier><language>eng</language><publisher>Rugby: Elsevier B.V</publisher><subject>Bioreactor ; Bioreactors ; Carbon dioxide ; Computer simulation ; Control systems design ; Control theory ; Design parameters ; Dilution ; Ethanol ; Fermentation ; Fractional order IMC-PID (FOIMC-PID) ; Mathematical analysis ; Modified fractional order IMC-PID (MFOIMC-PID) ; Optimization ; Parameter estimation ; Parameter modification ; Product quality ; Proportional integral derivative ; Robustness (mathematics) ; Studies ; Temperature control ; Water cycle algorithm</subject><ispartof>Chemical engineering research & design, 2017-06, Vol.122, p.97-112</ispartof><rights>2017 Institution of Chemical Engineers</rights><rights>Copyright Elsevier Science Ltd. Jun 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-547898383b525c3f7948e999a91b550715d7094a2b5d6f47c6d8826123d473f63</citedby><cites>FETCH-LOGICAL-c434t-547898383b525c3f7948e999a91b550715d7094a2b5d6f47c6d8826123d473f63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cherd.2017.03.031$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Pachauri, Nikhil</creatorcontrib><creatorcontrib>Rani, Asha</creatorcontrib><creatorcontrib>Singh, Vijander</creatorcontrib><title>Bioreactor temperature control using modified fractional order IMC-PID for ethanol production</title><title>Chemical engineering research & design</title><description>[Display omitted]
•Modified fractional order IMC-PID (MFOIMC-PID) is proposed for temperature control.•Water cycle algorithm is used to estimate the parameters of MFOIMC-PID.•Performance of MFOIMC-PID is compared with PID and fractional order PID (FOPID).•Production of ethanol is found higher in case of MFOIMC-PID.
The product quality of a fermentation process depends on a number of factors such as temperature, pH, nutrient balance, dilution rate, dissolved oxygen and CO2 concentration etc. The present work focuses on the precise temperature control of the process and to achieve desired product quality. Therefore a novel control algorithm, which is an amalgamation of fractional mathematics and IMC-PID, having less design parameters is proposed. A fractional order IMC-PID is designed and then modified (MFOIMC-PID) by incorporating an extra control loop with proportional gain to reduce the offset error. A nature inspired optimization technique i.e. water cycle algorithm is utilized for estimation of optimum design parameters of proposed controller which leads to WMFOIMC-PID controller. Fractional order PID (FOPID) and conventional PID are also designed for comparative study. Simulation results show that the proposed controller reduces integral absolute error (IAE) by 57% and 72% in comparison to FOPID and PID respectively for set-point tracking. Similar reduction of IAE is observed for disturbance rejection and noise suppression. Thus WMFOIMC-PID proves to be more robust and efficient in comparison to the other designed controllers.</description><subject>Bioreactor</subject><subject>Bioreactors</subject><subject>Carbon dioxide</subject><subject>Computer simulation</subject><subject>Control systems design</subject><subject>Control theory</subject><subject>Design parameters</subject><subject>Dilution</subject><subject>Ethanol</subject><subject>Fermentation</subject><subject>Fractional order IMC-PID (FOIMC-PID)</subject><subject>Mathematical analysis</subject><subject>Modified fractional order IMC-PID (MFOIMC-PID)</subject><subject>Optimization</subject><subject>Parameter estimation</subject><subject>Parameter modification</subject><subject>Product quality</subject><subject>Proportional integral derivative</subject><subject>Robustness (mathematics)</subject><subject>Studies</subject><subject>Temperature control</subject><subject>Water cycle algorithm</subject><issn>0263-8762</issn><issn>1744-3563</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EEqXwBWwisU7wK7GzYAHlVakIFrBEVmpPwFEbl3GCxN_jtqyRRprNOfO4hJwzWjDKqsuusJ-AruCUqYKKVOyATJiSMhdlJQ7JhPJK5FpV_JicxNhRmkipJ-T9xgeExg4BswHWG8BmGBEyG_oBwyobo-8_snVwvvXgshYT6kPfrLKADjCbP83yl_lt1iYfhs-mT84Ggxt32Ck5aptVhLO_PiVv93evs8d88fwwn10vciuFHPJSKl1rocWy5KUVraqlhrqum5oty5IqVjpFa9nwZemqVipbOa15xbhwUom2ElNysZ-bVn-NEAfThRHTldFwyjmlUkueKLGnLIYYEVqzQb9u8McwarY5ms7scjTbHA0VqViyrvYWpAe-PaCJ1kNvwXkEOxgX_L_-L8FGe68</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Pachauri, Nikhil</creator><creator>Rani, Asha</creator><creator>Singh, Vijander</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20170601</creationdate><title>Bioreactor temperature control using modified fractional order IMC-PID for ethanol production</title><author>Pachauri, Nikhil ; Rani, Asha ; Singh, Vijander</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-547898383b525c3f7948e999a91b550715d7094a2b5d6f47c6d8826123d473f63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bioreactor</topic><topic>Bioreactors</topic><topic>Carbon dioxide</topic><topic>Computer simulation</topic><topic>Control systems design</topic><topic>Control theory</topic><topic>Design parameters</topic><topic>Dilution</topic><topic>Ethanol</topic><topic>Fermentation</topic><topic>Fractional order IMC-PID (FOIMC-PID)</topic><topic>Mathematical analysis</topic><topic>Modified fractional order IMC-PID (MFOIMC-PID)</topic><topic>Optimization</topic><topic>Parameter estimation</topic><topic>Parameter modification</topic><topic>Product quality</topic><topic>Proportional integral derivative</topic><topic>Robustness (mathematics)</topic><topic>Studies</topic><topic>Temperature control</topic><topic>Water cycle algorithm</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pachauri, Nikhil</creatorcontrib><creatorcontrib>Rani, Asha</creatorcontrib><creatorcontrib>Singh, Vijander</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Chemical engineering research & design</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pachauri, Nikhil</au><au>Rani, Asha</au><au>Singh, Vijander</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bioreactor temperature control using modified fractional order IMC-PID for ethanol production</atitle><jtitle>Chemical engineering research & design</jtitle><date>2017-06-01</date><risdate>2017</risdate><volume>122</volume><spage>97</spage><epage>112</epage><pages>97-112</pages><issn>0263-8762</issn><eissn>1744-3563</eissn><abstract>[Display omitted]
•Modified fractional order IMC-PID (MFOIMC-PID) is proposed for temperature control.•Water cycle algorithm is used to estimate the parameters of MFOIMC-PID.•Performance of MFOIMC-PID is compared with PID and fractional order PID (FOPID).•Production of ethanol is found higher in case of MFOIMC-PID.
The product quality of a fermentation process depends on a number of factors such as temperature, pH, nutrient balance, dilution rate, dissolved oxygen and CO2 concentration etc. The present work focuses on the precise temperature control of the process and to achieve desired product quality. Therefore a novel control algorithm, which is an amalgamation of fractional mathematics and IMC-PID, having less design parameters is proposed. A fractional order IMC-PID is designed and then modified (MFOIMC-PID) by incorporating an extra control loop with proportional gain to reduce the offset error. A nature inspired optimization technique i.e. water cycle algorithm is utilized for estimation of optimum design parameters of proposed controller which leads to WMFOIMC-PID controller. Fractional order PID (FOPID) and conventional PID are also designed for comparative study. Simulation results show that the proposed controller reduces integral absolute error (IAE) by 57% and 72% in comparison to FOPID and PID respectively for set-point tracking. Similar reduction of IAE is observed for disturbance rejection and noise suppression. Thus WMFOIMC-PID proves to be more robust and efficient in comparison to the other designed controllers.</abstract><cop>Rugby</cop><pub>Elsevier B.V</pub><doi>10.1016/j.cherd.2017.03.031</doi><tpages>16</tpages></addata></record> |
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subjects | Bioreactor Bioreactors Carbon dioxide Computer simulation Control systems design Control theory Design parameters Dilution Ethanol Fermentation Fractional order IMC-PID (FOIMC-PID) Mathematical analysis Modified fractional order IMC-PID (MFOIMC-PID) Optimization Parameter estimation Parameter modification Product quality Proportional integral derivative Robustness (mathematics) Studies Temperature control Water cycle algorithm |
title | Bioreactor temperature control using modified fractional order IMC-PID for ethanol production |
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