Adaptive and H∞ control of a strong acid - Strong base system
pH neutralization is recognized as a difficult control problem in terms of practical control. The difficulties arise from high process nonlinearity and from changes in the pH characteristics due to changes in influent concentration. Various techniques have been developed to control the process pH. T...
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| creator | Benny, A. Tharakan, L. G. Jaffar, N. E. Jaleel, J. A. |
| description | pH neutralization is recognized as a difficult control problem in terms of practical control. The difficulties arise from high process nonlinearity and from changes in the pH characteristics due to changes in influent concentration. Various techniques have been developed to control the process pH. This paper considers both adaptive and H ∞ controllers for pH regulation and mainly emphasize on the simulation study of a strong acid-strong base pH process and its controls. The adaptive controller under consideration is a combined feedback-feed forward controller while the H ∞ controller is a feedback controller. For random input disturbance with large variations, H ∞ controller outperforms the adaptive controller. But for step disturbance the adaptive controller shows good response. Simulation results confirm that a robust control of the process is achievable for both adaptive and H ∞ controllers. |
| doi_str_mv | 10.1109/iMac4s.2013.6526492 |
| format | Conference Proceeding |
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Simulation results confirm that a robust control of the process is achievable for both adaptive and H ∞ controllers.</description><identifier>ISBN: 1467350893</identifier><identifier>ISBN: 9781467350891</identifier><identifier>EISBN: 9781467350907</identifier><identifier>EISBN: 1467350907</identifier><identifier>EISBN: 9781467350884</identifier><identifier>EISBN: 1467350885</identifier><identifier>DOI: 10.1109/iMac4s.2013.6526492</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptation models ; Adaptive control ; Chemical reactors ; Control systems ; Equations ; H ∞ control ; Mathematical model ; pH control ; Process control ; Strong acid-strong base system</subject><ispartof>2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013, p.662-667</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6526492$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27923,54918</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6526492$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Benny, A.</creatorcontrib><creatorcontrib>Tharakan, L. 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For random input disturbance with large variations, H ∞ controller outperforms the adaptive controller. But for step disturbance the adaptive controller shows good response. Simulation results confirm that a robust control of the process is achievable for both adaptive and H ∞ controllers.</description><subject>Adaptation models</subject><subject>Adaptive control</subject><subject>Chemical reactors</subject><subject>Control systems</subject><subject>Equations</subject><subject>H ∞ control</subject><subject>Mathematical model</subject><subject>pH control</subject><subject>Process control</subject><subject>Strong acid-strong base system</subject><isbn>1467350893</isbn><isbn>9781467350891</isbn><isbn>9781467350907</isbn><isbn>1467350907</isbn><isbn>9781467350884</isbn><isbn>1467350885</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj09KAzEYxSMiqHVO0E0uMOOX_8lKSlFbqLiw-5Jkvkik7ZTJIPQGnsLDeRIHOqv3fovfg0fInEHDGLjH_OajLA0HJhqtuJaOX5HKGcukNkKBA3NN7iewTtySqpQvABhtDc7dkadF609D_kbqjy1d_f380tgdh77b0y5RT8tYj5_Ux9zSmn5cKPiCtJzLgIcHcpP8vmA15YxsX563y1W9eX9dLxebOjsY6tZYowNTQWlUlnOWQAVmpEhoDUYFJhrnvDYBEpfBRyZaybUbySaDSszI_DKbEXF36vPB9-fddFn8A-LeSf0</recordid><startdate>201303</startdate><enddate>201303</enddate><creator>Benny, A.</creator><creator>Tharakan, L. 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A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Benny, A.</au><au>Tharakan, L. G.</au><au>Jaffar, N. E.</au><au>Jaleel, J. 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This paper considers both adaptive and H ∞ controllers for pH regulation and mainly emphasize on the simulation study of a strong acid-strong base pH process and its controls. The adaptive controller under consideration is a combined feedback-feed forward controller while the H ∞ controller is a feedback controller. For random input disturbance with large variations, H ∞ controller outperforms the adaptive controller. But for step disturbance the adaptive controller shows good response. Simulation results confirm that a robust control of the process is achievable for both adaptive and H ∞ controllers.</abstract><pub>IEEE</pub><doi>10.1109/iMac4s.2013.6526492</doi><tpages>6</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptation models Adaptive control Chemical reactors Control systems Equations H ∞ control Mathematical model pH control Process control Strong acid-strong base system |
| title | Adaptive and H∞ control of a strong acid - Strong base system |
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