Sensorless very low-speed and zero-speed estimations with online rotor resistance estimation of induction motor without signal injection

Kan Akatsu, Atsuo Kawamura

Research output: Contribution to journalArticle

78 Citations (Scopus)

Abstract

In the speed-sensorless control of the induction motor, the machine parameters (especially rotor resistance R2) have a strong influence on the speed estimation. It is known that the simultaneous estimation of speed and R2 is impossible in the slip-frequency-type vector control, because the rotor flux is constant. In addition, the output voltage error due to the deadtime and the voltage drop of the inverter influences the rotor flux estimation, but the simultaneous compensation of the output voltage and stator resistance R1 is very difficult. In this paper, the R2 estimation without adding any additional signal to the stator current is proposed. In the high-frequency range, R2 is estimated in the transient state and, in the very low-frequency range, R2 is estimated in proportion to the estimated R1 when the ideal voltage source by the power op-amp is used instead of the voltage-source inverter to avoid the output voltage error. Using these algorithms, the low-speed estimation was possible and the zero-speed control was achieved under the 10%-40% load condition. This paper clarifies that the zero-speed estimation is possible with the stator and rotor resistance estimations when the output voltage is ideal.

Original languageEnglish
Pages (from-to)764-771
Number of pages8
JournalIEEE Transactions on Industry Applications
Volume36
Issue number3
DOIs
Publication statusPublished - 2000 Dec 3

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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