Sensorless speed estimation of induction motor based on the secondary and primary resistance on-line identification without any additional signal injection

Kan Akatsu; Atsuo Kawamura

Sensorless speed estimation of induction motor based on the secondary and primary resistance on-line identification without any additional signal injection

Kan Akatsu, Atsuo Kawamura

Research output: Contribution to journal › Conference article › peer-review

Abstract

In the low speed region, it is difficult to estimate the rotor speed of the induction motor, because the machine parameter (especially R₂) has a strong influence to the speed estimation. It is known that the simultaneous estimation of the speed and R₂ is impossible. In this paper the R₂ estimation in the transient state without adding any additional signal to the stator current is proposed, and the R₁ is estimated from the instantaneous reactive power. These algorithms are verified by the digital simulations and the experiments.

Original language	English
Pages (from-to)	1575-1580
Number of pages	6
Journal	PESC Record - IEEE Annual Power Electronics Specialists Conference
Volume	2
Publication status	Published - 1998 Jan 1
Externally published	Yes
Event	Proceedings of the 1998 IEEE 29th Annual Power Electronics Specialists Conference, PESC. Part 2 (of 2) - Fukuoka, Jpn Duration: 1998 May 18 → 1998 May 21

ASJC Scopus subject areas

Modelling and Simulation
Condensed Matter Physics
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Cite this

Sensorless speed estimation of induction motor based on the secondary and primary resistance on-line identification without any additional signal injection. / Akatsu, Kan; Kawamura, Atsuo.

In: PESC Record - IEEE Annual Power Electronics Specialists Conference, Vol. 2, 01.01.1998, p. 1575-1580.

Research output: Contribution to journal › Conference article › peer-review

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abstract = "In the low speed region, it is difficult to estimate the rotor speed of the induction motor, because the machine parameter (especially R2) has a strong influence to the speed estimation. It is known that the simultaneous estimation of the speed and R2 is impossible. In this paper the R2 estimation in the transient state without adding any additional signal to the stator current is proposed, and the R1 is estimated from the instantaneous reactive power. These algorithms are verified by the digital simulations and the experiments.",

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N2 - In the low speed region, it is difficult to estimate the rotor speed of the induction motor, because the machine parameter (especially R2) has a strong influence to the speed estimation. It is known that the simultaneous estimation of the speed and R2 is impossible. In this paper the R2 estimation in the transient state without adding any additional signal to the stator current is proposed, and the R1 is estimated from the instantaneous reactive power. These algorithms are verified by the digital simulations and the experiments.

AB - In the low speed region, it is difficult to estimate the rotor speed of the induction motor, because the machine parameter (especially R2) has a strong influence to the speed estimation. It is known that the simultaneous estimation of the speed and R2 is impossible. In this paper the R2 estimation in the transient state without adding any additional signal to the stator current is proposed, and the R1 is estimated from the instantaneous reactive power. These algorithms are verified by the digital simulations and the experiments.

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Y2 - 18 May 1998 through 21 May 1998

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Sensorless speed estimation of induction motor based on the secondary and primary resistance on-line identification without any additional signal injection

Abstract

ASJC Scopus subject areas

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