DocumentCode :
2984378
Title :
Modern design optimisation exploiting field simulation
Author :
Sykulski, Jan K.
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
2383
Lastpage :
2384
Abstract :
The presentation will review some of the new developments in optimisation techniques and their relevance to the design of electrical machines and drive systems. Cost effective algorithms will be explored for computationally expensive modelling processes such as encountered when field simulation techniques are employed in CAD aided design. Surrogate modelling, kriging-assisted methods, pareto-optimality and design sensitivity will be emphasised.
Keywords :
CAD; Pareto optimisation; electric drives; electric machine analysis computing; electric machines; machine theory; sensitivity analysis; statistical analysis; CAD aided design; design optimisation; design sensitivity analysis; drive systems; electrical machines design; field simulation; kriging-assisted methods; pareto-optimality; surrogate modelling; Computational modeling; Computer science; Computer simulation; Costs; Design automation; Design optimization; Drives; Equivalent circuits; Finite element methods; Space exploration; Design; modelling; optimisation; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Motion Control Conference, 2008. EPE-PEMC 2008. 13th
Conference_Location :
Poznan
Print_ISBN :
978-1-4244-1741-4
Electronic_ISBN :
978-1-4244-1742-1
Type :
conf
DOI :
10.1109/EPEPEMC.2008.4635620
Filename :
4635620
Link To Document :
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