Optimization Control of Thermal Efficiency for Cement Raw Meal Pre-Decomposition Based on Two-Layer Structure Model Predictive Control
A two-layer structure model predictive control (MPC) for the low thermal efficiency of cement raw material pre-decomposition is proposed. In the upper layer, an outlet temperature of the precalciner automatic setting scheme is formulated with craft constraints by taking advantage of the energy flow...
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| Veröffentlicht in: | IEEE access 2023, Vol.11, p.4057-4065 |
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| creator | Ma, Hengchao Liu, Zhao Wang, Xiaohong Ma, Honghao |
| description | A two-layer structure model predictive control (MPC) for the low thermal efficiency of cement raw material pre-decomposition is proposed. In the upper layer, an outlet temperature of the precalciner automatic setting scheme is formulated with craft constraints by taking advantage of the energy flow and thermal energy conversion models. In the lower layer, the stable control of the precalciner is achieved using a model predictive control algorithm. Finally, extensive simulation results verify the proposed two-layer MPC approach with excellent performance in energy saving and consumption reduction of raw meal pre-decomposition link. |
| doi_str_mv | 10.1109/ACCESS.2022.3233465 |
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In the upper layer, an outlet temperature of the precalciner automatic setting scheme is formulated with craft constraints by taking advantage of the energy flow and thermal energy conversion models. In the lower layer, the stable control of the precalciner is achieved using a model predictive control algorithm. Finally, extensive simulation results verify the proposed two-layer MPC approach with excellent performance in energy saving and consumption reduction of raw meal pre-decomposition link.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2022.3233465</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Control theory ; Decomposition ; Energy conversion ; Energy flow ; energy flow model ; Heating systems ; Kilns ; Optimization ; precalciner ; Precalciners ; Predictive control ; Raw materials ; Temperature control ; Thermal energy ; thermal energy conversion model ; Thermodynamic efficiency ; Two-layer structure model predictive control</subject><ispartof>IEEE access, 2023, Vol.11, p.4057-4065</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-174a7904b8a0f933c63899ff01b66729c0b417bacd4247df143fa235504061903</citedby><cites>FETCH-LOGICAL-c339t-174a7904b8a0f933c63899ff01b66729c0b417bacd4247df143fa235504061903</cites><orcidid>0000-0001-7436-565X ; 0000-0002-4532-3431</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10004555$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2095,4009,27612,27902,27903,27904,54911</link.rule.ids></links><search><creatorcontrib>Ma, Hengchao</creatorcontrib><creatorcontrib>Liu, Zhao</creatorcontrib><creatorcontrib>Wang, Xiaohong</creatorcontrib><creatorcontrib>Ma, Honghao</creatorcontrib><title>Optimization Control of Thermal Efficiency for Cement Raw Meal Pre-Decomposition Based on Two-Layer Structure Model Predictive Control</title><title>IEEE access</title><addtitle>Access</addtitle><description>A two-layer structure model predictive control (MPC) for the low thermal efficiency of cement raw material pre-decomposition is proposed. In the upper layer, an outlet temperature of the precalciner automatic setting scheme is formulated with craft constraints by taking advantage of the energy flow and thermal energy conversion models. In the lower layer, the stable control of the precalciner is achieved using a model predictive control algorithm. Finally, extensive simulation results verify the proposed two-layer MPC approach with excellent performance in energy saving and consumption reduction of raw meal pre-decomposition link.</description><subject>Algorithms</subject><subject>Control theory</subject><subject>Decomposition</subject><subject>Energy conversion</subject><subject>Energy flow</subject><subject>energy flow model</subject><subject>Heating systems</subject><subject>Kilns</subject><subject>Optimization</subject><subject>precalciner</subject><subject>Precalciners</subject><subject>Predictive control</subject><subject>Raw materials</subject><subject>Temperature control</subject><subject>Thermal energy</subject><subject>thermal energy conversion model</subject><subject>Thermodynamic efficiency</subject><subject>Two-layer structure model predictive control</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUV1vEzEQPCGQqEp_ATxY4vmCvx0_liNApVRFJDxbPnsNjnLn4HOowg_gd-PmCuq-7Gp2Z3akaZrXBC8IwfrdddetNpsFxZQuGGWMS_GsuaBE6pYJJp8_mV82V9O0w7WWFRLqovlzdyhxiL9tiWlEXRpLTnuUAtr-gDzYPVqFEF2E0Z1QSBl1MMBY0Fd7j26hrr9kaD-AS8MhTfGs8d5O4FEdtvepXdsTZLQp-ejKMQO6TR7OJB9dib_g38dXzYtg9xNcPfbL5tvH1bb73K7vPt101-vWMaZLSxS3SmPeLy0OmjEn2VLrEDDppVRUO9xzonrrPKdc-UA4C5YyITDHkmjMLpubWdcnuzOHHAebTybZaM5Ayt-NzSW6PRjGvHcSB7z0lrtArQhSEeq4I0or21ett7PWIaefR5iK2aVjHqt9Q5WUkvHquV6x-crlNE0Zwv-vBJuH_Mycn3nIzzzmV1lvZlYEgCcMjLkQgv0FhqKW1A</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Ma, Hengchao</creator><creator>Liu, Zhao</creator><creator>Wang, Xiaohong</creator><creator>Ma, Honghao</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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In the upper layer, an outlet temperature of the precalciner automatic setting scheme is formulated with craft constraints by taking advantage of the energy flow and thermal energy conversion models. In the lower layer, the stable control of the precalciner is achieved using a model predictive control algorithm. Finally, extensive simulation results verify the proposed two-layer MPC approach with excellent performance in energy saving and consumption reduction of raw meal pre-decomposition link.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2022.3233465</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-7436-565X</orcidid><orcidid>https://orcid.org/0000-0002-4532-3431</orcidid><oa>free_for_read</oa></addata></record> |
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| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Algorithms Control theory Decomposition Energy conversion Energy flow energy flow model Heating systems Kilns Optimization precalciner Precalciners Predictive control Raw materials Temperature control Thermal energy thermal energy conversion model Thermodynamic efficiency Two-layer structure model predictive control |
| title | Optimization Control of Thermal Efficiency for Cement Raw Meal Pre-Decomposition Based on Two-Layer Structure Model Predictive Control |
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