3-D Topology Optimization of Claw-Pole Alternator Using Gaussian-Basis Function With Global and Local Searches
This article proposes a two-step topology optimization method based on the normalized Gaussian functions. The proposed method is shown to be effective for design of a claw-pole alternator. In this method, the global search using the micro-genetic algorithm (μGA) is followed by the local search using...
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Veröffentlicht in: | IEEE transactions on magnetics 2020-01, Vol.56 (1), p.1-4 |
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description | This article proposes a two-step topology optimization method based on the normalized Gaussian functions. The proposed method is shown to be effective for design of a claw-pole alternator. In this method, the global search using the micro-genetic algorithm (μGA) is followed by the local search using the sensitivity analysis based on the adjoint variable method. The 3-D structure of the rotor is optimized using the proposed method under low- and high-speed conditions. |
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The 3-D structure of the rotor is optimized using the proposed method under low- and high-speed conditions.</description><subject>Adjoint variable method</subject><subject>Algorithms</subject><subject>Alternators</subject><subject>Basis functions</subject><subject>claw-pole alternator</subject><subject>genetic algorithm (GA)</subject><subject>Magnetic cores</subject><subject>Magnetism</subject><subject>Microgenetic algorithms</subject><subject>NGnet</subject><subject>Optimization</subject><subject>Rotors</subject><subject>Sensitivity analysis</subject><subject>Shape</subject><subject>Stators</subject><subject>Topology</subject><subject>Topology optimization</subject><issn>0018-9464</issn><issn>1941-0069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhhdRsFZ_gHhZ8Jw6-xWzx1ptFCoVjHhctsmk3ZJmazZB6q83tcXTvAPPOwwPIdcMRoyBvstex-mIA9MjrhXnoE7IgGnJIoBYn5IBAEsiLWN5Ti5CWPerVAwGpBbRI8381ld-uaPzbes27se2ztfUl3RS2e_ozVdIx1WLTW1b39CP4OolTW0XgrN19GCDC3Ta1flf69O1K5pWfmErauuCznzep3e0Tb7CcEnOSlsFvDrOIcmmT9nkOZrN05fJeBblUsZtpMpCc20VClmyRDLIkS8Sq3iZFJwLi3FiMVEMkSssJBd5nIDAHO09KySIIbk9nN02_qvD0Jq17_r3q2C4EADQm4l7ih2ovPEhNFiabeM2ttkZBmZv1eytmr1Vc7Tad24OHYeI_3yiRRxzEL_JW3M4</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Otomo, Yoshitsugu</creator><creator>Igarashi, Hajime</creator><creator>Hidaka, Yuki</creator><creator>Komatsu, Taiga</creator><creator>Yamada, Masaki</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Adjoint variable method Algorithms Alternators Basis functions claw-pole alternator genetic algorithm (GA) Magnetic cores Magnetism Microgenetic algorithms NGnet Optimization Rotors Sensitivity analysis Shape Stators Topology Topology optimization |
title | 3-D Topology Optimization of Claw-Pole Alternator Using Gaussian-Basis Function With Global and Local Searches |
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