Title :
Sensorless control of induction machines with different designs — Impact on signal processing
Author :
Wolbank, T.M. ; Metwally, M.K.
Author_Institution :
Dept. of Electr. Drives & Machines, Vienna Univ. of Technol., Vienna, Austria
Abstract :
This paper addresses the sensorless control scheme of induction machines using transient voltage excitation at zero and low frequencies. The method is based on saliency detection through the use of pulse excitation and the evaluation of the response of the machine line currents changes. Different signal processing structures are necessary for the rotor position estimation. The estimation algorithm of the full pitched stator winding machine depends on the slotting signal, whereas the estimation algorithm of the short pitched winding machine depends on the inter-modulation signal. Measurement results show the performance of the arrangement allowing a sensorless determination of the rotor position of induction machines with different stator windings and un-skewed rotor using artificial neural networks, and fast Fourier transform at low and zero speed operation.
Keywords :
artificial intelligence; asynchronous machines; fast Fourier transforms; machine vector control; neural nets; signal processing; artificial neural networks; fast Fourier transform; full pitched stator winding machine; induction machines; pulse excitation; rotor position estimation; sensorless control scheme; signal processing structures; transient voltage excitation; Frequency; Induction machines; Machine windings; Position measurement; Sensorless control; Signal design; Signal processing; Signal processing algorithms; Stator windings; Velocity measurement; ANN; FFT; Induction machine; Inter-modulation signal; Saturation saliency; Sensorless control; Slotting saliency;
Conference_Titel :
Power Electronics and Applications, 2009. EPE '09. 13th European Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4432-8
Electronic_ISBN :
978-90-75815-13-9