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   Predictive Braking Algorithm for Soft Starter Driven Induction Motors   [View] 
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 Author(s)   Hauke NANNEN 
 Abstract   Different algorithms exist for braking induction motors driven by soft starters. This paper investigates a model predictive algorithm for braking induction motors driven by soft starters in addition to state-of-the-art braking with grid phase rotation. Additionally, the impact of non-linear effects, e.g. saturation and the skin effect, on the predictive algorithm is discussed and evaluated based on simulations and measurements. Measurements of the different braking procedures are presented, compared and discussed. The measurements show that the total losses in the soft starter and the motor can be signi_cantly reduced by the application of the predictive algorithm instead of the conventionally used phase angle control algorithm. 
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Filename:0026-epe2022-full-11154067.pdf
Filesize:564.3 KB
 Type   Members Only 
 Date   Last modified 2023-09-24 by System