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000000033 001__ 33
000000033 037__ $$aENY-ARTICLE-2008-026
000000033 041__ $$aeng
000000033 088__ $$a1-4244-0813-X/07/$20.00 2007 IEEE
000000033 100__ $$aLis, J M
000000033 245__ $$aApplication of Evolutionary Algorithms with Adaptive Mutation to the Identification of Induction Motor Parameters at Standstill
000000033 260__ $$c2007-08-24
000000033 300__ $$a6p
000000033 500__ $$aEUROCON 2007 The International Conference on “Computer as a Tool” Warsaw, September 9-12, pp. 1786-1791
000000033 520__ $$aIn this paper the application of evolutionary algorithms to the identification of induction motor equivalent circuit parameters at standstill is presented. In order to improve the time efficiency of the identification procedure, the adaptive mutation mechanism is introduced to the evolutionary algorithm. Few versions of the adaptive mutation mechanisms are investigated and evaluated in simulations. By employing the adaptive mutation the significant reduction of the processing time has been obtained while the required accuracy of the algorithm has not been deteriorated. The results of simulation are verified and confirmed in the experimental tests.
000000033 6531_ $$ainduction motor
000000033 6531_ $$aidentification
000000033 6531_ $$aevolutionary algorithm
000000033 6531_ $$aadaptive mutation
000000033 6531_ $$asimulated annealing
000000033 700__ $$aOrlowska-Kowalska, T
000000033 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000033 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/33/files/$$zAccess to Fulltext
000000033 909CO $$ooai:zet10.pwr.wroc.pl:33$$pglobal
000000033 980__ $$aARTICLE