A Novel Subband Method for Instantaneous Speed Estimation of Induction Motors Under Varying Working Conditions

Tamara Kadhim Al-Shayea, Tomas Garcia-Calva, Karen Uribe-Murcia, Oscar Duque-Perez and Daniel Morinigo-Sotelo ()
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Tamara Kadhim Al-Shayea: Electrical Engineering Department, University of Valladolid, 47011 Valladolid, Spain
Tomas Garcia-Calva: Research Group HSPdigital-Electrical Engineering Department, University of Valladolid, 47011 Valladolid, Spain
Karen Uribe-Murcia: Computer Engineering Department, University of Valladolid, 47011 Valladolid, Spain
Oscar Duque-Perez: Research Group HSPdigital-ADIRE, Institute of Advanced Production Technologies (ITAP), University of Valladolid, 47011 Valladolid, Spain
Daniel Morinigo-Sotelo: Research Group HSPdigital-ADIRE, Institute of Advanced Production Technologies (ITAP), University of Valladolid, 47011 Valladolid, Spain

Energies, 2025, vol. 18, issue 17, 1-18

Abstract: Robust speed estimation in induction motors (IM) is essential for control systems (especially in sensorless drive applications) and condition monitoring. Traditional model-based techniques for inverter-fed IM provide a high accuracy but rely heavily on precise motor parameter identification, requiring multiple sensors to monitor the necessary variables. In contrast, model-independent methods that use rotor slot harmonics (RSH) in the stator current spectrum offer a better adaptability to various motor types and conditions. However, many of these techniques are dependent on full-band processing, which reduces noise immunity and increases computational cost. This paper introduces a novel subband signal processing approach for rotor speed estimation focused on RSH tracking under both steady and non-steady states. By limiting spectral analysis to relevant content, the method significantly reduces computational demand. The technique employs an advanced time-frequency analysis for high-resolution frequency identification, even in noisy settings. Simulations and experiments show that the proposed approach outperforms conventional RSH-based estimators, offering a robust and cost-effective solution for integrated speed monitoring in practical applications.

Keywords: digital signal processing; induction motor; rotor slot harmonics; spectral analysis; spectral estimation; speed estimation; subband decomposition; time-frequency domain (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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