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Ho, Sang Dang
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Computer Science & IT Electrical & Electronics Engineering

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Particle swarm optimization-based stator resistance observer for speed sensorless induction motor drive Ho, Sang Dang; Palacky, Petr; Kuchar, Martin; Brandstetter, Pavel; Tran, Cuong Dinh
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i1.pp815-826

Abstract

This paper presents a different technique for the online stator resistance estimation using a particle swarm optimization (PSO) based algorithm for rotor flux oriented control schemes of induction motor drives without a rotor speed sensor. First, a conventional proportional-integral controller-based stator resistance estimation technique is used for a speed sensorless control scheme with two different model reference adaptive system (MRAS) concepts. Finally, a novel method for the stator resistance estimation based on the PSO algorithm is presented for the two MRAS-type observers. Simulation results in the Matlab/Simulink environment show good adaptability of the proposed estimation model while the stator resistance is varied to 200% of the nominal value. The results also confirm more accurate stator resistance and rotor speed estimation in comparison with the conventional technique.
Co-Authors Brandstetter, Pavel Kuchar, Martin Palacky, Petr Tran, Cuong Dinh