Modified IMC Technique for Nonlinear Uncertain Milling CNC Machine Tool System
The objective of this paper is to model a nonlinear computer numerical control machine tool (CNCMT) system for milling process. A modified internal model control (M-IMC) technique is proposed for position control of machine table. The study of milling process is mainly focused on the cutting mechani...
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Veröffentlicht in: | Arabian journal for science and engineering (2011) 2020-03, Vol.45 (3), p.2065-2080 |
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creator | Yadav, Anil Kumar Gaur, Prerna |
description | The objective of this paper is to model a nonlinear computer numerical control machine tool (CNCMT) system for milling process. A modified internal model control (M-IMC) technique is proposed for position control of machine table. The study of milling process is mainly focused on the cutting mechanics and dynamics. The performance of CNCMT system is degraded due to the presence of disturbance like cutting force and parametric uncertainty. Considering the limitation of conventional internal model control (C-IMC) technique that is the poor performance under constant disturbance, an M-IMC technique is designed for the rejection of disturbance and position control of uncertain nonlinear CNCMT system. The performances of nonlinear uncertain CNCMT system using M-IMC technique is also compared with C-IMC and Ziegler–Nichols-tuned proportional–integral–derivative control techniques. The proposed M-IMC technique is designed to attain the better disturbance rejection capability, i.e., regulatory control with less control effort for the regulation of desired position of a machine table. |
doi_str_mv | 10.1007/s13369-019-03984-7 |
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A modified internal model control (M-IMC) technique is proposed for position control of machine table. The study of milling process is mainly focused on the cutting mechanics and dynamics. The performance of CNCMT system is degraded due to the presence of disturbance like cutting force and parametric uncertainty. Considering the limitation of conventional internal model control (C-IMC) technique that is the poor performance under constant disturbance, an M-IMC technique is designed for the rejection of disturbance and position control of uncertain nonlinear CNCMT system. The performances of nonlinear uncertain CNCMT system using M-IMC technique is also compared with C-IMC and Ziegler–Nichols-tuned proportional–integral–derivative control techniques. The proposed M-IMC technique is designed to attain the better disturbance rejection capability, i.e., regulatory control with less control effort for the regulation of desired position of a machine table.</description><identifier>ISSN: 2193-567X</identifier><identifier>ISSN: 1319-8025</identifier><identifier>EISSN: 2191-4281</identifier><identifier>DOI: 10.1007/s13369-019-03984-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Control systems ; Cutting force ; Engineering ; Humanities and Social Sciences ; Machine tools ; Milling (machining) ; multidisciplinary ; Nonlinear control ; Numerical controls ; Proportional integral derivative ; Rejection ; Research Article - Systems Engineering ; Science ; Tables</subject><ispartof>Arabian journal for science and engineering (2011), 2020-03, Vol.45 (3), p.2065-2080</ispartof><rights>King Fahd University of Petroleum & Minerals 2019</rights><rights>2019© King Fahd University of Petroleum & Minerals 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-914aa5307ec51fcc3e7a059c8f43912e4f41ebaa105c1a751dd600b24d7d61903</citedby><cites>FETCH-LOGICAL-c319t-914aa5307ec51fcc3e7a059c8f43912e4f41ebaa105c1a751dd600b24d7d61903</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13369-019-03984-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13369-019-03984-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Yadav, Anil Kumar</creatorcontrib><creatorcontrib>Gaur, Prerna</creatorcontrib><title>Modified IMC Technique for Nonlinear Uncertain Milling CNC Machine Tool System</title><title>Arabian journal for science and engineering (2011)</title><addtitle>Arab J Sci Eng</addtitle><description>The objective of this paper is to model a nonlinear computer numerical control machine tool (CNCMT) system for milling process. A modified internal model control (M-IMC) technique is proposed for position control of machine table. The study of milling process is mainly focused on the cutting mechanics and dynamics. The performance of CNCMT system is degraded due to the presence of disturbance like cutting force and parametric uncertainty. Considering the limitation of conventional internal model control (C-IMC) technique that is the poor performance under constant disturbance, an M-IMC technique is designed for the rejection of disturbance and position control of uncertain nonlinear CNCMT system. The performances of nonlinear uncertain CNCMT system using M-IMC technique is also compared with C-IMC and Ziegler–Nichols-tuned proportional–integral–derivative control techniques. The proposed M-IMC technique is designed to attain the better disturbance rejection capability, i.e., regulatory control with less control effort for the regulation of desired position of a machine table.</description><subject>Control systems</subject><subject>Cutting force</subject><subject>Engineering</subject><subject>Humanities and Social Sciences</subject><subject>Machine tools</subject><subject>Milling (machining)</subject><subject>multidisciplinary</subject><subject>Nonlinear control</subject><subject>Numerical controls</subject><subject>Proportional integral derivative</subject><subject>Rejection</subject><subject>Research Article - Systems Engineering</subject><subject>Science</subject><subject>Tables</subject><issn>2193-567X</issn><issn>1319-8025</issn><issn>2191-4281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PwzAMhiMEEtPYH-AUiXMhbpKmOaKKj0nrOLBJ3KIsTbegrhlJd9i_J6xI3DhYtuz3ta0HoVsg90CIeIhAaSEzAimoLFkmLtAkBwkZy0u4PNc044X4uEazGN2GsJJKDkAnaFn7xrXONnheV3hlza53X0eLWx_w0ved660OeN0bGwbtely7LvW2uFpWuNZml-Z45X2H309xsPsbdNXqLtrZb56i9fPTqnrNFm8v8-pxkRkKcsgkMK05JcIaDq0x1ApNuDRly6iE3LKWgd1oDYQb0IJD0xSEbHLWiKYASegU3Y17D8Gnd-OgPv0x9OmkyikvBUDBeFLlo8oEH2OwrToEt9fhpICoH3RqRKcSOnVGp0Qy0dEUk7jf2vC3-h_XN_ynb-o</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Yadav, Anil Kumar</creator><creator>Gaur, Prerna</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20200301</creationdate><title>Modified IMC Technique for Nonlinear Uncertain Milling CNC Machine Tool System</title><author>Yadav, Anil Kumar ; Gaur, Prerna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-914aa5307ec51fcc3e7a059c8f43912e4f41ebaa105c1a751dd600b24d7d61903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Control systems</topic><topic>Cutting force</topic><topic>Engineering</topic><topic>Humanities and Social Sciences</topic><topic>Machine tools</topic><topic>Milling (machining)</topic><topic>multidisciplinary</topic><topic>Nonlinear control</topic><topic>Numerical controls</topic><topic>Proportional integral derivative</topic><topic>Rejection</topic><topic>Research Article - Systems Engineering</topic><topic>Science</topic><topic>Tables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yadav, Anil Kumar</creatorcontrib><creatorcontrib>Gaur, Prerna</creatorcontrib><collection>CrossRef</collection><jtitle>Arabian journal for science and engineering (2011)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yadav, Anil Kumar</au><au>Gaur, Prerna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modified IMC Technique for Nonlinear Uncertain Milling CNC Machine Tool System</atitle><jtitle>Arabian journal for science and engineering (2011)</jtitle><stitle>Arab J Sci Eng</stitle><date>2020-03-01</date><risdate>2020</risdate><volume>45</volume><issue>3</issue><spage>2065</spage><epage>2080</epage><pages>2065-2080</pages><issn>2193-567X</issn><issn>1319-8025</issn><eissn>2191-4281</eissn><abstract>The objective of this paper is to model a nonlinear computer numerical control machine tool (CNCMT) system for milling process. A modified internal model control (M-IMC) technique is proposed for position control of machine table. The study of milling process is mainly focused on the cutting mechanics and dynamics. The performance of CNCMT system is degraded due to the presence of disturbance like cutting force and parametric uncertainty. Considering the limitation of conventional internal model control (C-IMC) technique that is the poor performance under constant disturbance, an M-IMC technique is designed for the rejection of disturbance and position control of uncertain nonlinear CNCMT system. The performances of nonlinear uncertain CNCMT system using M-IMC technique is also compared with C-IMC and Ziegler–Nichols-tuned proportional–integral–derivative control techniques. The proposed M-IMC technique is designed to attain the better disturbance rejection capability, i.e., regulatory control with less control effort for the regulation of desired position of a machine table.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s13369-019-03984-7</doi><tpages>16</tpages></addata></record> |
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subjects | Control systems Cutting force Engineering Humanities and Social Sciences Machine tools Milling (machining) multidisciplinary Nonlinear control Numerical controls Proportional integral derivative Rejection Research Article - Systems Engineering Science Tables |
title | Modified IMC Technique for Nonlinear Uncertain Milling CNC Machine Tool System |
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