Sensorless very low and zero speed estimations with on-line secondary resistance estimation of induction motor without adding any signal

Kan Akatsu, Atsuo Kawamura

Research output: Contribution to journalConference article

4 Citations (Scopus)

Abstract

In the speed sensorless control of the induction motor, the machine parameters (especially the secondary resistance R2) have a strong influence to the speed estimation. It is known that the simultaneous estimation of the speed and the R2 is impossible in the slip frequency type vector control, because the secondary flux is constant. In addition, the output voltage error due to the dead time and the voltage drop of the inverter makes influence to the secondary flux estimation, but the simultaneous compensation of the output voltage and the primary resistance R2 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, the R2 is estimated in the transient state, and in the very low frequency range, the 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. In the use of these algorithms, the low speed estimation was possible and the zero speed control was achieved under the 10-40% load conditions. This paper clarified that the zero speed estimation is possible with the primary and secondary resistance estimations when the output voltage is ideal.

Original languageEnglish
Pages (from-to)187-193
Number of pages7
JournalConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume1
Publication statusPublished - 1999 Dec 1
EventProceedings of the 1999 IEEE Industry Applications Conference - 34th IAS Annual Meeting - Phoenix, AZ, USA
Duration: 1999 Oct 31999 Oct 7

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ASJC Scopus subject areas

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

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