RT info:eu-repo/semantics/article
T1 A Novel Subband Method for Instantaneous Speed Estimation of Induction Motors Under Varying Working Conditions
A1 A-Shayea, Tamara Kadhim
A1 García Calva, Tomás Alberto
A1 Uribe Murcia, Karen
A1 Duque Pérez, Óscar
A1 Moríñigo Sotelo, Daniel
K1 digital signal processing; induction motor; rotor slot harmonics; spectral analysis; spectral estimation; speed estimation; subband decomposition; time-frequency domain
AB Robust speed estimation in induction motors (IM) is essential for control systems (espe-cially in sensorless drive applications) and condition monitoring. Traditional model-basedtechniques for inverter-fed IM provide a high accuracy but rely heavily on precise motorparameter identification, requiring multiple sensors to monitor the necessary variables.In contrast, model-independent methods that use rotor slot harmonics (RSH) in the sta-tor current spectrum offer a better adaptability to various motor types and conditions.However, many of these techniques are dependent on full-band processing, which reducesnoise immunity and increases computational cost. This paper introduces a novel subbandsignal processing approach for rotor speed estimation focused on RSH tracking underboth steady and non-steady states. By limiting spectral analysis to relevant content, themethod significantly reduces computational demand. The technique employs an advancedtime-frequency analysis for high-resolution frequency identification, even in noisy settings.Simulations and experiments show that the proposed approach outperforms conventionalRSH-based estimators, offering a robust and cost-effective solution for integrated speedmonitoring in practical applications.
PB MDPI
YR 2025
FD 2025-08-27
LK https://uvadoc.uva.es/handle/10324/77253
UL https://uvadoc.uva.es/handle/10324/77253
LA eng
NO Energies 2025, 18, 4538
NO Producción Científica
DS UVaDOC
RD 30-ago-2025