Online signal processing for accurate slotting saliency extraction using two-active SVPWM integrated excitation for sensorless induction machine control

Conference: PCIM Europe digital days 2020 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
07/07/2020 - 07/08/2020 at Deutschland

Proceedings: PCIM Europe digital days 2020

Pages: 6Language: englishTyp: PDF

Montero, Eduardo Rodriguez; Ertl, Hans; Wolbank, Thomas M. (Technical University of Vienna, Institute of Energy Systems and Electrical Machines, Austria)
Vogelsberger, Markus A. (Bombardier Transportation Austria GmbH, COO_Equipment, Product and R&D Mgmt. Drives, Austria)
Teppan, Wolfram (LEM group, Switzerland)

Sensorless motor control approaches that use voltage step excitation rely on machine anisotropy extraction. Given the six-sector switching characteristic of space vector pulse width modulation SVPWM, it is sufficient to use one or two active inverter states to form a saliency-offset vector. Using two active states leads to more prominent saliency amplitudes related to the signal noise compared to such signals using only a single active-state. This is due to the non-deterministic characteristic of noise. For extracting saliency information from the saliency-offset vector using two active states, each sector offset is required to be accurately estimated during online operation. This paper, therefore, presents an online strategy based on a SVPWM-integrated two-active excitation that estimates all sector offsets, and shows outstanding sensorless operation, validated by measurements taken at an induction motor.