Communications - Scientific Letters of the University of Zilina 2004, 6(1):38-41 | DOI: 10.26552/com.C.2004.1.38-41

Development and DSP Implementation of Ann-Based VPWM in a Voltage Source Inverter

Martin Kuchar1, Pavel Brandstetter1
1 Department of Power Electronics and Electrical Drives, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, Czech Republic

This paper deals with development, simulation and DSP implementation of space vector modulator based on artificial neural network. The modulator is designed for a voltage source inverter utilization. In the contribution an explanation of presented ANN-based VSI-VPWM is described. Main features and advantages of the used algorithm are summarized too. The entire AC electrical drive consists of a frequency converter, induction motor and microprocessor control system. In the paper a description of the control system with TMS 320C40 DSP is also given. A very important part of the development is simulation, because it is necessary to verify rightness of the algorithm. The entire drive was simulated in the program Matlab with Simulink toolbox.

Keywords: DSP, artificial neural network (ANN), vector pulse-width modulation (VPWM), voltage source inverter (VSI), induction motor, simulation

Published: March 31, 2004  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Kuchar, M., & Brandstetter, P. (2004). Development and DSP Implementation of Ann-Based VPWM in a Voltage Source Inverter. Communications - Scientific Letters of the University of Zilina6(1), 38-41. doi: 10.26552/com.C.2004.1.38-41
Download citation

References

  1. VAS, P.: Artificial-Intelligence-Based Electrical Machines and Drives, Oxford Science Publication, 1999, ISBN 0 19 859397 X Go to original source...
  2. BRANDSTETTER, P.: AC regulation drives - Modern control methods, VSB-TU Ostrava 1999, ISBN 80-7078-668-X
  3. NEBORAK, I.: Modelling and simulation of electrical regulation drives, VSB-TU Ostrava 2002, ISBN 80-248-0083-7
  4. TEXAS INSTRUMENTS: TMS 320C40 Users Guide, Digital Signal Processing Product, 1995
  5. BRANDSTETTER, P., KUCHAR, M., PALACKY, P., VINKLAREK, D.: Sensorless Induction Motor Drive with Vector Control, EPE-PEMC 2002, Dubrovnik 2002
  6. DEMUTH, H., BEALE, M.: Neural Network Toolbox, for use with Matlab, ver. 4.
  7. FEDOR, P., PERDUKOVA, D., TIMKO, J.: Study of Controlled Structure Properties with Reference Model, Acta Technica, ISSN 0001-7043, CSAV 46, 2001.

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.