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Published Article / ENY-ARTICLE-2008-031

Real-Time Parameter Estimation of Signals in Converter Fed Drives using Adaptive Neural Networks

Lobos, T (Wroclaw University of Technology, Poland) ; Koglin, H J (University of the Saarland, Germany) ; Waclawek, Z (Wroclaw University of Technology, Poland)


Abstract: Frequency 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.

Keyword(s): Neural networks ; converter drive ; parameter estimation
Note: X. International Symposium on Theoretical Electrical Engineering, September 6-9, 1999 in Magdeburg (Germany)

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Record created 2008-03-09, last modified 2008-03-09

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