Optimization of Combustion Control System for Regenerative Forging Heating Furnace
In order to reduce the influence of temperature fluctuation on heat treatment of regenerative forging reheating furnace, a scheme of improving traditional cascade PID controller to fuzzy PID controller was proposed in this paper. Taking the actual PID parameters of reheating furnace in forging works...
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Veröffentlicht in: | IOP conference series. Materials Science and Engineering 2020-01, Vol.740 (1), p.12069 |
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creator | Li, Hongtao Liu, Xiaobo Ji, Yunguang Cui, Hongbin Xue, Shuqi Liu, Yazhi |
description | In order to reduce the influence of temperature fluctuation on heat treatment of regenerative forging reheating furnace, a scheme of improving traditional cascade PID controller to fuzzy PID controller was proposed in this paper. Taking the actual PID parameters of reheating furnace in forging workshop of a steel plant as reference object, the feasibility of the scheme is simulated by using MATLAB/SIMULINK. The results show that: 1) The control effect of fuzzy PID control is better than that of PID control in overshoot and adjusting time when the gain coefficient is perturbed 30%; 2) The dynamic performance of the system does not change significantly when the time constant is perturbed 20%; 3) The fuzzy PID shows better stability when the lag time is perturbed 20%. |
doi_str_mv | 10.1088/1757-899X/740/1/012069 |
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Taking the actual PID parameters of reheating furnace in forging workshop of a steel plant as reference object, the feasibility of the scheme is simulated by using MATLAB/SIMULINK. The results show that: 1) The control effect of fuzzy PID control is better than that of PID control in overshoot and adjusting time when the gain coefficient is perturbed 30%; 2) The dynamic performance of the system does not change significantly when the time constant is perturbed 20%; 3) The fuzzy PID shows better stability when the lag time is perturbed 20%.</description><identifier>ISSN: 1757-8981</identifier><identifier>EISSN: 1757-899X</identifier><identifier>DOI: 10.1088/1757-899X/740/1/012069</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Combustion control ; Controllers ; Forging ; Fuzzy control ; Heat treatment ; Heating ; Heating furnaces ; Iron and steel plants ; Lag time ; Optimization ; Proportional integral derivative ; Time constant</subject><ispartof>IOP conference series. Materials Science and Engineering, 2020-01, Vol.740 (1), p.12069</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2020. 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Materials Science and Engineering</title><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><description>In order to reduce the influence of temperature fluctuation on heat treatment of regenerative forging reheating furnace, a scheme of improving traditional cascade PID controller to fuzzy PID controller was proposed in this paper. Taking the actual PID parameters of reheating furnace in forging workshop of a steel plant as reference object, the feasibility of the scheme is simulated by using MATLAB/SIMULINK. The results show that: 1) The control effect of fuzzy PID control is better than that of PID control in overshoot and adjusting time when the gain coefficient is perturbed 30%; 2) The dynamic performance of the system does not change significantly when the time constant is perturbed 20%; 3) The fuzzy PID shows better stability when the lag time is perturbed 20%.</description><subject>Combustion control</subject><subject>Controllers</subject><subject>Forging</subject><subject>Fuzzy control</subject><subject>Heat treatment</subject><subject>Heating</subject><subject>Heating furnaces</subject><subject>Iron and steel plants</subject><subject>Lag time</subject><subject>Optimization</subject><subject>Proportional integral derivative</subject><subject>Time constant</subject><issn>1757-8981</issn><issn>1757-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkN1LwzAUxYMoOKf_ggR88aX2ph_5eJSyOWEy2BR8C22WjI61qUknzL_e1spEEHw693LPOVx-CF0TuCPAeUhYygIuxGvIEghJCCQCKk7Q6Hg4Pc6cnKML77cAlCUJjNBy0bRlVX7kbWlrbA3ObFXs_deW2bp1dodXB9_qChvr8FJvdK1d537XeGrdpqw3eKa7vdPp3tW50pfozOQ7r6--dYxeppPnbBbMFw-P2f08UBEVIlA5sIIIKApTgF7HnCvKqYmTNGGGGmLSBExKNWdUJYKKQke8WEeKKQM8Iiweo5uht3H2ba99K7e2_2DnZZRSIgQHgM5FB5dy1nunjWxcWeXuIAnInp_s0cgek-z4SSIHfl0wGoKlbX6a_w3d_hF6Wk1-2WSzNvEnr2p_yw</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Li, Hongtao</creator><creator>Liu, Xiaobo</creator><creator>Ji, Yunguang</creator><creator>Cui, Hongbin</creator><creator>Xue, Shuqi</creator><creator>Liu, Yazhi</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20200101</creationdate><title>Optimization of Combustion Control System for Regenerative Forging Heating Furnace</title><author>Li, Hongtao ; Liu, Xiaobo ; Ji, Yunguang ; Cui, Hongbin ; Xue, Shuqi ; Liu, Yazhi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2699-ca07b190bbfb0ed388c686f34547f6f1f540f56e876c4969be28bd2c7cf082173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Combustion control</topic><topic>Controllers</topic><topic>Forging</topic><topic>Fuzzy control</topic><topic>Heat treatment</topic><topic>Heating</topic><topic>Heating furnaces</topic><topic>Iron and steel plants</topic><topic>Lag time</topic><topic>Optimization</topic><topic>Proportional integral derivative</topic><topic>Time constant</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Hongtao</creatorcontrib><creatorcontrib>Liu, Xiaobo</creatorcontrib><creatorcontrib>Ji, Yunguang</creatorcontrib><creatorcontrib>Cui, Hongbin</creatorcontrib><creatorcontrib>Xue, Shuqi</creatorcontrib><creatorcontrib>Liu, Yazhi</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>IOP conference series. Materials Science and Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Hongtao</au><au>Liu, Xiaobo</au><au>Ji, Yunguang</au><au>Cui, Hongbin</au><au>Xue, Shuqi</au><au>Liu, Yazhi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of Combustion Control System for Regenerative Forging Heating Furnace</atitle><jtitle>IOP conference series. Materials Science and Engineering</jtitle><addtitle>IOP Conf. Ser.: Mater. Sci. Eng</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>740</volume><issue>1</issue><spage>12069</spage><pages>12069-</pages><issn>1757-8981</issn><eissn>1757-899X</eissn><abstract>In order to reduce the influence of temperature fluctuation on heat treatment of regenerative forging reheating furnace, a scheme of improving traditional cascade PID controller to fuzzy PID controller was proposed in this paper. 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subjects | Combustion control Controllers Forging Fuzzy control Heat treatment Heating Heating furnaces Iron and steel plants Lag time Optimization Proportional integral derivative Time constant |
title | Optimization of Combustion Control System for Regenerative Forging Heating Furnace |
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