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Accuracy Enhancement of Parameter Estimation and Sensorless Algorithms Based on Current Shaping

  • Kim, Jin-Woong ;
  • Ha, Jung-Ik
  • Received : 2014.10.26
  • Accepted : 2015.11.18
  • Published : 2016.01.20

Abstract

Dead time is typically incorporated in voltage source inverter systems to prevent short circuit cases. However, dead time causes an error between the output voltage and reference voltage. Hence, voltage equation-based algorithms, such as motor parameter estimation and back electromotive force (EMF)-based sensorless algorithms, are prone to estimation errors. Several dead-time compensation methods have been developed to reduce output voltage errors. However, voltage errors are still common in zero current crossing areas, and an effect of the error is much worse in a low speed region. Therefore, employing voltage equation-based algorithms in low speed regions is difficult. This study analyzes the conventional dead-time compensation method and output voltage errors in low speed operation areas. A current shaping method that can reduce output voltage errors is also proposed. Experimental results prove that the proposed method reduces voltage errors and improves the accuracy of the parameter estimation method and the performance of the back EMF-based sensorless algorithm.

Keywords

Back EMF-based sensorless;Current shaping;Online parameter estimation;Output voltage error;Permanent magnet synchronous motor

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Cited by

  1. Neural Network Based Fault Detection and Diagnosis System for Three-Phase Inverter in Variable Speed Drive with Induction Motor vol.2016, 2016, https://doi.org/10.1155/2016/1286318
  2. A Novel Three-Phase Inverter Fault Diagnosis System Using Three-dimensional Feature Extraction and Neural Network pp.2191-4281, 2018, https://doi.org/10.1007/s13369-018-3156-8

Acknowledgement

Grant : BK21플러스

Supported by : 서울대학교