Deterministic and artificial intelligence approaches in optimizing permanent magnet generators for wind power applications

Kiartzis, S; Kladas, A

dc.contributor.author	Kiartzis, S	en
dc.contributor.author	Kladas, A	en
dc.date.accessioned	2014-03-01T01:16:23Z
dc.date.available	2014-03-01T01:16:23Z
dc.date.issued	2001	en
dc.identifier.issn	0924-0136	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14025
dc.subject	permanent magnets	en
dc.subject	deterministic technique	en
dc.subject	optimization procedure	en
dc.subject	neural networks	en
dc.subject.classification	Engineering, Industrial	en
dc.subject.classification	Engineering, Manufacturing	en
dc.subject.classification	Materials Science, Multidisciplinary	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Ferrites	en
dc.subject.other	Finite element method	en
dc.subject.other	Magnetic materials	en
dc.subject.other	Neural networks	en
dc.subject.other	Optimization	en
dc.subject.other	Remanence	en
dc.subject.other	Wind power	en
dc.subject.other	Wind turbines	en
dc.subject.other	Deterministic technique	en
dc.subject.other	Permanent magnets	en
dc.title	Deterministic and artificial intelligence approaches in optimizing permanent magnet generators for wind power applications	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0924-0136(00)00761-5	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0924-0136(00)00761-5	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	This paper presents the design procedure of a permanent magnet generator for a 20 kW wind turbine prototype. This work has been developed in the frame of a research project funded by the General Secretariat for Research and Technology of Greece concerning the design and construction of a gear-less wind turbine for both autonomous and interconnected operation with the electrical grid. in wind power applications, multipole permanent magnet generators have become very attractive especially in small ratings. Developments in magnetic materials, on the other hand, enabled remanence levels up to 1.2 T by using convenient Nd-Fe-B magnets resulting in competitive design of "peripheral" type generator structures. Such a design tends to replace the traditional "internal" configurations involving ferrites. The magnet cost remains the most important concern in medium scale applications that is why the present paper is mainly devoted to the permanent magnet material optimization. The method involves a preliminary design stage based on standard formulae in a first step and the introduction of a two-dimensional finite element code into an optimization procedure in a second step, in order to investigate the optimal shape design problem. A neural network approach has been applied in a third step in order to be compared with the deterministic technique, (C) 2001 Elsevier Science B.V. All rights reserved.	en
heal.publisher	Elsevier Science S.A., Lausanne, Switzerland	en
heal.journalName	Journal of Materials Processing Technology	en
dc.identifier.doi	10.1016/S0924-0136(00)00761-5	en
dc.identifier.isi	ISI:000166532700022	en
dc.identifier.volume	108	en
dc.identifier.issue	2	en
dc.identifier.spage	232	en
dc.identifier.epage	236	en