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   Position Sensorless Control based on Pattern Matching Method using Multiple Template Data Sets to Improve Position Control Error   [View] 
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 Author(s)   Hamin SONG 
 Abstract   This paper presents a position sensorless control scheme based on pattern matching method for high power density Interior Permanent Magnet Synchronous Motors (IPMSMs) that have non-sinusoidal in-ductance spatial distribution. The pattern matching method achieves the closed loop position sensorless control under heavy load condition. However, atypical position control control errors are generated. To improve the position control errors, a new pattern matching method is proposed in this paper. The proposed method estimates the rotor position by using multiple template data sets which created while changing a current phase. Through experimental results, the effectiveness of the proposed method is presented. 
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Filename:0124-epe2018-full-10422626.pdf
Filesize:1.948 MB
 Type   Members Only 
 Date   Last modified 2019-05-05 by System