Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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Sensorless Operation of Low-cost Inverters through Square-wave High Frequency Voltage Injection

사각 고주파 주입을 통한 저가형 인버터의 센서리스 운전

  • Hwang, Sang-Jin (School of Electronic and Electrical Engineering, Hongik University) ;
  • Lee, Dong-Myung (School of Electronic and Electrical Engineering, Hongik University)
  • Received : 2022.03.01
  • Accepted : 2022.03.22
  • Published : 2022.03.31
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Abstract

In this paper, the efficiency of a sensorless method with square-wave injection for a low-cost inverter, so called B4 inverter is presented. This inverter comprises only 4 switches to reduce system cost. It is distinguished from the conventional B6 inverter that has 6 of switching elements. The B4 inverter, injected a 1 kHz of harmonic wave, has been modelled using the functions and library in Matlab/Simulink. This paper described each component of sensorless algorithm. Among them, the Notch Filter is used to extract the harmonic component of the phase current and a second-order low-pass filter was used to reduce the ripple of the estimated speed. It is shown through simulation that the rotor angle of a permanent magnet synchronous motor is detected by multiplying the current waveform extracted using the notch filter by the harmonic voltage. The feasibility of the proposed method is shown through Simulink simulation.

본 논문에서는 저가격 인버터에서의 사각파 주입에 의한 센서리스 기법의 제어 성능을 보인다. 저가격 인버터는 소위 말하는 B4 인버터이다. 이 인버터는 저가격화를 위하여 스위칭 소자를 4개를 사용한 형태이다. 고주파 주입을 통한 센서리스 기법을 B4 인버터에 적용하였으며, 주입 고주파의 주파수는 1kH이다. 본 논문에서는 Matlab/ Simulink를 이용한 B4 인버터를 이용한 영구자석 전동기의 센서리스 시스템 모델을 설명한다. 한편, 본 연구에서는 회전자의 위치 추정을 위한 고주파 전류 성분 검출에 노치 필터를 사용하였으며, 추정된 속도의 리플 저감을 위하여 이차 저역 통과 필터를 사용하였다. 노치 필터에 의해 추출된 전류 파형에 고주파 전압을 곱하여 영구 자석 동기 전동기의 회전자 각도를 추정한다. Simulink 시뮬레이션의 통해 제안하는 기법의 타당성을 보인다.

Keywords

Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and Future Planning(NRF-2021R1A2C100578212).

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