Skip to main navigation Skip to search Skip to main content

Pseudo-Random High-Frequency Sinusoidal Voltage Injection Based Sensorless Control for IPMSM Drives

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A sensorless control method based on pseudo-random high-frequency(HF) sinusoidal voltage injection is studied to solve the noise problem caused by the conventional HF injection strategy in this paper. In the low-speed and zero-speed range, HF injection strategy is widely used as a sensorless control strategy for IPMSM drives. However, the harsh noise caused by the HF signals is unexpected. By injecting two HF signals with different frequencies in a random manner, instead of traditional fixed frequency signal, noise problems can be attenuated while sustaining the estimation accuracy. The signal processing is analyzed to select the frequency and amplitude of the pseudo-random high-frequency (PRHF) sinusoidal signals. This method is verified by simulation and experiment on a 2.2-kW IPMSM drive platform.

Original languageEnglish
Title of host publication2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1234-1239
Number of pages6
ISBN (Electronic)9784886864055
DOIs
StatePublished - 22 Oct 2018
Externally publishedYes
Event8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018 - Niigata, Japan
Duration: 20 May 201824 May 2018

Publication series

Name2018 International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018

Conference

Conference8th International Power Electronics Conference, IPEC-Niigata - ECCE Asia 2018
Country/TerritoryJapan
CityNiigata
Period20/05/1824/05/18

Keywords

  • Acoustic noise
  • high-frequency injection
  • pseudo-random signal
  • sensorless control

Fingerprint

Dive into the research topics of 'Pseudo-Random High-Frequency Sinusoidal Voltage Injection Based Sensorless Control for IPMSM Drives'. Together they form a unique fingerprint.

Cite this