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   Predictive Current Control and Online Parameter Identification of Interior Permanent Magnet Synchronous Machines   [View] 
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 Author(s)   Simon DECKER 
 Abstract   This paper presents an online parameter identification method for interior permanent magnet synchronous machines with nonlinear magnetics. Usually model based control schemes are used to ensure dynamic,stable and accurate control. These schemes contain machine models with offline measured parametersthat are stored in lookup tables. Extensive offline parametrization can be avoided when parameters areobtained online during regular drive operation. The proposed online parameter identification methodenables fast identification of differential inductances and flux linkages within the short duration of twocontrol periods using manipulated reference currents. Thereby, online identification of the parameterlookup tables and self-commissioning of deadbeat controllers is possible. 
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Filename:0651-epe2016-full-10024569.pdf
Filesize:0.999 MB
 Type   Members Only 
 Date   Last modified 2017-04-13 by System