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000000038 037__ $$aENY-ARTICLE-2008-031
000000038 041__ $$aeng
000000038 100__ $$aLobos, T$$uWroclaw University of Technology, Poland
000000038 245__ $$aReal-Time Parameter Estimation of Signals in Converter Fed Drives using Adaptive Neural Networks
000000038 260__ $$c1999-07-01
000000038 300__ $$a6p
000000038 500__ $$aX. International Symposium on Theoretical Electrical Engineering,  September 6-9, 1999 in Magdeburg (Germany)
000000038 520__ $$aFrequency converter-fed induction motor drives were simulated using the EMTP-ATP (Electromagnetic Transients Program - Alternative Transients Program) The aim of the simulation investigations is to develop a feasible method for drive visualisation and for diagnosis of different unsymmetrical operations. Visualisation of a converter-supplied drive by means of modal space phasors is a very useful and compact observation and diagnosis method. Fast and exact estimation of the frequency of distorted voltages and currents at the motor input enables to obtain stationary space-phasors and to determine an appropriate sampling window for a DFT analysis. For this purpose an adaptive neural network is proposed. Computer simulation results confirm the validity and performance of the proposed method.
000000038 6531_ $$aNeural networks
000000038 6531_ $$aconverter drive
000000038 6531_ $$aparameter estimation
000000038 700__ $$aKoglin, H J$$uUniversity of the Saarland, Germany
000000038 700__ $$aWaclawek, Z$$uWroclaw University of Technology, Poland
000000038 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000038 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/38/files/$$zAccess to Fulltext
000000038 909CO $$ooai:zet10.pwr.wroc.pl:38$$pglobal
000000038 980__ $$aARTICLE