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High-Accuracy and Fast-Response Flywheel Torque Control
Compared with current mode flywheel torque controller, speed mode torque controller has superior disturbance rejection capability. However, the speed loop delay reduces system dynamic response speed. To solve this problem, a two-degrees-of-freedom controller (2DOFC) which consists of a feedback cont...
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Published in: | Mathematical problems in engineering 2014-01, Vol.2014 (2014), p.1-10 |
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container_title | Mathematical problems in engineering |
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creator | Zhou, Xinxiu Zhang, Ran Li, Meng |
description | Compared with current mode flywheel torque controller, speed mode torque controller has superior disturbance rejection capability. However, the speed loop delay reduces system dynamic response speed. To solve this problem, a two-degrees-of-freedom controller (2DOFC) which consists of a feedback controller (FBC) and a command feedforward controller (FFC) is proposed. The transfer function of FFC is found based on the inverse model of motor drive system, whose parameters are identified by recursive least squares (RLS) algorithm in real-time. Upon this, Kalman filter with softening factor is introduced for the improved parameters identification and torque control performances. Finally, the validity and the superiority of the proposed control scheme are verified through experiments with magnetically suspended flywheel (MSFW) motor. |
doi_str_mv | 10.1155/2014/960437 |
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However, the speed loop delay reduces system dynamic response speed. To solve this problem, a two-degrees-of-freedom controller (2DOFC) which consists of a feedback controller (FBC) and a command feedforward controller (FFC) is proposed. The transfer function of FFC is found based on the inverse model of motor drive system, whose parameters are identified by recursive least squares (RLS) algorithm in real-time. Upon this, Kalman filter with softening factor is introduced for the improved parameters identification and torque control performances. Finally, the validity and the superiority of the proposed control scheme are verified through experiments with magnetically suspended flywheel (MSFW) motor.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2014/960437</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Accuracy ; Algorithms ; Control systems ; Control theory ; Controllers ; Design engineering ; Dynamic response ; Feedback control ; Feedforward ; Feedforward control ; Flywheels ; Influence ; Kalman filters ; Magnetic levitation ; Mathematical models ; Motors ; Noise ; Parameter estimation ; Parameter identification ; Real time ; Recursive functions ; Science ; Torque ; Transfer functions</subject><ispartof>Mathematical problems in engineering, 2014-01, Vol.2014 (2014), p.1-10</ispartof><rights>Copyright © 2014 Xinxiu Zhou et al.</rights><rights>Copyright © 2014 Xinxiu Zhou et al. 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Finally, the validity and the superiority of the proposed control scheme are verified through experiments with magnetically suspended flywheel (MSFW) motor.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Control systems</subject><subject>Control theory</subject><subject>Controllers</subject><subject>Design engineering</subject><subject>Dynamic response</subject><subject>Feedback control</subject><subject>Feedforward</subject><subject>Feedforward control</subject><subject>Flywheels</subject><subject>Influence</subject><subject>Kalman filters</subject><subject>Magnetic levitation</subject><subject>Mathematical models</subject><subject>Motors</subject><subject>Noise</subject><subject>Parameter estimation</subject><subject>Parameter identification</subject><subject>Real time</subject><subject>Recursive functions</subject><subject>Science</subject><subject>Torque</subject><subject>Transfer functions</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqF0E1Lw0AQBuBFFKwfJ-8S8CLK2v2abHIsxVqhIEgFb2HdTGxKmq27CaX_3i3xIF48zRwe5h1eQq44e-AcYCwYV-M8ZUrqIzLikEoKXOnjuDOhKBfy_ZSchbBmTHDg2Yjoef25ohNre2_sPjFtmcxM6Ogrhq1rAyazZr9bITbJ0vmvHpOpazvvmgtyUpkm4OXPPCdvs8fldE4XL0_P08mCWql0R6XMlNZpVpkshQ9pFEOFMZwplMDzHDQIK9Hmwhqd56UoQSOAMqJCWyGT5-R2uLv1LsaHrtjUwWLTmBZdHwqeKiGkAJZFevOHrl3v2_hdVJxpoSToqO4HZb0LwWNVbH29MX5fcFYcSiwOJRZDiVHfDXpVt6XZ1f_g6wFjJFiZX1ilkObyG5IYd98</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Zhou, Xinxiu</creator><creator>Zhang, Ran</creator><creator>Li, Meng</creator><general>Hindawi Publishing Corporation</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0001-9896-6791</orcidid></search><sort><creationdate>20140101</creationdate><title>High-Accuracy and Fast-Response Flywheel Torque Control</title><author>Zhou, Xinxiu ; Zhang, Ran ; Li, Meng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-33847768fa865b3a40e4e00204e351995752c3ec92ca799d2d57e554a2fecfe03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Control systems</topic><topic>Control theory</topic><topic>Controllers</topic><topic>Design engineering</topic><topic>Dynamic response</topic><topic>Feedback control</topic><topic>Feedforward</topic><topic>Feedforward control</topic><topic>Flywheels</topic><topic>Influence</topic><topic>Kalman filters</topic><topic>Magnetic levitation</topic><topic>Mathematical models</topic><topic>Motors</topic><topic>Noise</topic><topic>Parameter estimation</topic><topic>Parameter identification</topic><topic>Real time</topic><topic>Recursive functions</topic><topic>Science</topic><topic>Torque</topic><topic>Transfer functions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Xinxiu</creatorcontrib><creatorcontrib>Zhang, Ran</creatorcontrib><creatorcontrib>Li, Meng</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace 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>Mathematical problems in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Xinxiu</au><au>Zhang, Ran</au><au>Li, Meng</au><au>Wong, Kwok-Wo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-Accuracy and Fast-Response Flywheel Torque Control</atitle><jtitle>Mathematical problems in engineering</jtitle><date>2014-01-01</date><risdate>2014</risdate><volume>2014</volume><issue>2014</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>Compared with current mode flywheel torque controller, speed mode torque controller has superior disturbance rejection capability. However, the speed loop delay reduces system dynamic response speed. To solve this problem, a two-degrees-of-freedom controller (2DOFC) which consists of a feedback controller (FBC) and a command feedforward controller (FFC) is proposed. The transfer function of FFC is found based on the inverse model of motor drive system, whose parameters are identified by recursive least squares (RLS) algorithm in real-time. Upon this, Kalman filter with softening factor is introduced for the improved parameters identification and torque control performances. Finally, the validity and the superiority of the proposed control scheme are verified through experiments with magnetically suspended flywheel (MSFW) motor.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2014/960437</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-9896-6791</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Algorithms Control systems Control theory Controllers Design engineering Dynamic response Feedback control Feedforward Feedforward control Flywheels Influence Kalman filters Magnetic levitation Mathematical models Motors Noise Parameter estimation Parameter identification Real time Recursive functions Science Torque Transfer functions |
title | High-Accuracy and Fast-Response Flywheel Torque Control |
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