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dc.contributor.authorPraveen Kumar, Kunisetti V.-
dc.contributor.authorRavi Eswar, K.M.-
dc.contributor.authorKumar, Thippiripati Vinay.-
dc.date.accessioned2026-01-27T11:53:22Z-
dc.date.available2026-01-27T11:53:22Z-
dc.date.issued2017-
dc.identifier.citation10.1080/23311916.2017.1388206en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3875-
dc.descriptionNITWen_US
dc.description.abstractPredictive Torque Control (PTC) is an acceptable alternate to Direct Torque Control (DTC) of induction motors. The limitation of classical PTC is selection of weighting factor, improper selection of weighting factors lead to distortions in current, voltage, high torque and flux ripple. In classical PTC, to reduce torque and f lux ripples manual tuning of weighting factors is needed and weighting factors are selected empirically. To circumvent tedious tuning process of weighting factor, this article proposes a new self-tuned PTC algorithm to Open End Winding Induction Motor (OEWIM) drive. OEWIM’s are more popular in electric vehicles, ship propulsion but they require ripple free torque. A new self-tuned PTC algorithm is implemented to OEWIM with multi-level inversion to reduce torque and flux ripples. The effective ness of proposed PTC algorithm was tested by applying it to multi-level inverter fed OEWIM drive through simulation and experimental verification.en_US
dc.language.isoenen_US
dc.publisherCogent Engineeringen_US
dc.subjectDirect Torque Controlen_US
dc.subjectInduction motor drivesen_US
dc.titleHardware implementation of Predictive Torque Controlled Open-end winding induction motor drive with self-tuning algorithmen_US
dc.typeArticleen_US
Appears in Collections:Electrical Engineering

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