2026-04-14T18:19:16Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/772532025-09-04T12:01:16Zcom_10324_1169com_10324_931com_10324_894col_10324_1363

A-Shayea, Tamara Kadhim García Calva, Tomás Alberto Uribe Murcia, Karen Duque Pérez, Óscar Moríñigo Sotelo, Daniel Producción Científica Robust speed estimation in induction motors (IM) is essential for control systems (espe- cially 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 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 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. 2025-08-28 2025-08-28 2025 info:eu-repo/semantics/article Energies 2025, 18, 4538 https://uvadoc.uva.es/handle/10324/77253 10.3390/en1817453 Energies 18 eng https://www.mdpi.com/1996-1073/18/17/4538 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Los autores Atribución 4.0 Internacional Atribución 4.0 Internacional Atribución 4.0 Internacional MDPI