Speed Estimation of Six-Phase Induction Motors, Using the Rotor Slot Harmonics.

Sensors (Basel)

CISE-Electromechatronic Systems Research Centre, University of Beira Interior, Calçada Fonte do Lameiro, P-62001-001 Covilhã, Portugal.

Published: October 2022

AI Article Synopsis

  • Multiphase machines are emerging as alternatives to traditional three-phase machines, raising the need for effective rotor speed estimation for better control.
  • Traditional electromechanical sensors for speed detection are accurate but fragile and costly, prompting the need for new estimation algorithms.
  • This paper presents a novel strategy for estimating rotor speed in six-phase induction motors using the Short Time Fourier Transform method to track rotor slot harmonics, proving effective in experimental tests.

Article Abstract

Multiphase machines have recently been promoted as a viable alternative to traditional three-phase machines. Most experts are looking for strategies to estimate the rotation speed of such complex systems, since speed data are required for high-performance control purposes. Traditionally, electromechanical sensors were used to detect the rotor speed of electric motors. These devices are extremely accurate, but they are also delicate and costly to deploy. New speed estimating algorithms must be created for these situations. This paper looks at how to estimate rotor speed in symmetrical six-phase induction motors (IMs) using a novel strategy for rotor speed estimation based on the Short Time Fourier Transform (STFT) method. The technique is based on tracking the frequencies of the rotor slot harmonics (RSH) seen in most squirrel-cage IM stator currents, thus assuring a broad range of applications. To monitor the RSH, the STFT employs a sliding window to perform the discrete Fourier transform technique, making it more suitable for online use with noisy and nonstationary signals. Experimental tests demonstrate the effectiveness of the suggested approach.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656993PMC
http://dx.doi.org/10.3390/s22218157DOI Listing

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