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Sensorless-BLDC motor speed control with ensemble Kalman filter and neural network

The use of sensorless technology at BLDC is mainly to improve operational reliability and play a role for wider use of BLDC motors in the future. This research aims to predict load changes and to improve the accuracy of estimation results of sensorless-BLDC. In this paper, a new filtering algorithm...

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Autores principales: Muhammad Rif'an, Feri Yusivar, Benyamin Kusumoputro
Formato: Artigo
Lenguaje:Inglês
Publicado: Badan Riset dan Inovasi Nasional 2019-12-01
Colección:Journal of Mechatronics, Electrical Power, and Vehicular Technology
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Acceso en línea:https://mev.lipi.go.id/mev/article/view/433
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