{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T12:51:16Z","timestamp":1763470276618,"version":"3.45.0"},"reference-count":53,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>This paper presents a high-performance sensorless control strategy for induction motors using an Adaptive Neuro-Fuzzy Inference System (ANFIS) for rotor speed estimation, eliminating the need for mechanical sensors. The ANFIS approach leverages stator voltages and currents, reducing costs and complexity. The motor is controlled via Indirect Stator Field Orientation Control (ISFOC) with a three-level Neutral\u2013Point\u2013Clamped (NPC) inverter employing Space Vector Modulation (SVM). Symmetry in the motor\u2019s magnetic structure and SVM\u2019s switching patterns enhances control precision, stability, and efficiency while minimizing harmonic distortion. Simulation results validate the proposed ANFIS-based estimator\u2019s superior performance compared to a MRAS-based Luenberger observer under various operating conditions, demonstrating accurate speed tracking and robustness against load disturbances.<\/jats:p>","DOI":"10.3390\/sym17111996","type":"journal-article","created":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T12:33:04Z","timestamp":1763469184000},"page":"1996","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["High-Performance Sensorless Control of Induction Motors via ANFIS and NPC Inverter Topology"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7848-981X","authenticated-orcid":false,"given":"Zina","family":"Boussada","sequence":"first","affiliation":[{"name":"National School of Engineers of Gabes, Gabes University, Gabes 6029, Tunisia"}]},{"given":"Bassem","family":"Omri","sequence":"additional","affiliation":[{"name":"National School of Engineers of Gafsa, Gafsa University, Gafsa 2112, Tunisia"}]},{"given":"Mouna Ben","family":"Hamed","sequence":"additional","affiliation":[{"name":"National School of Engineers of Gabes, Gabes University, Gabes 6029, Tunisia"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1886","DOI":"10.11591\/ijece.v11i3.pp1886-1893","article-title":"ANFIS control of a shunt active filter based with a five-level NPC inverter to improve power quality","volume":"11","author":"Tounsi","year":"2021","journal-title":"Int. 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