Speed and rotor resistance estimation of AC induction motor

Wang Dafang; Wang Miaoran; Dong Guanglin; Wei Hui; Xu Zexu

doi:10.1051/matecconf/201817302037

Speed and rotor resistance estimation of AC induction motor

Wang Dafang^*
, Wang Miaoran
, Dong Guanglin
, Wei Hui
, Xu Zexu

^*Corresponding author for this work

Automotive Engineering College

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

1 Scopus citations

Abstract

The speed estimation method based on Extended Kalman Filter (EKF) is widely used in speed sensorless induction motor. The method has high accuracy and good robustness. However, EKF is sensitive to parameters. In particular, the rotor resistance becomes up to twice the original when the motor is running. This greatly affects the speed identification accuracy. This paper achieves online estimation of rotor resistance utilizing the Model Reference Adaptive Controller (MRAC) based on reactive power. This ensures that the speed is estimated with high accuracy even if the rotor resistance changes suddenly. Simulation results have been presented to verify the effectiveness of the method.

Original language	English
Article number	02037
Journal	MATEC Web of Conferences
Volume	173
DOIs	https://doi.org/10.1051/matecconf/201817302037
State	Published - 19 Jun 2018
Externally published	Yes
Event	2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation, SMIMA 2018 - Nanjing, China Duration: 24 May 2018 → 26 May 2018

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10.1051/matecconf/201817302037

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title = "Speed and rotor resistance estimation of AC induction motor",

abstract = "The speed estimation method based on Extended Kalman Filter (EKF) is widely used in speed sensorless induction motor. The method has high accuracy and good robustness. However, EKF is sensitive to parameters. In particular, the rotor resistance becomes up to twice the original when the motor is running. This greatly affects the speed identification accuracy. This paper achieves online estimation of rotor resistance utilizing the Model Reference Adaptive Controller (MRAC) based on reactive power. This ensures that the speed is estimated with high accuracy even if the rotor resistance changes suddenly. Simulation results have been presented to verify the effectiveness of the method.",

author = "Wang Dafang and Wang Miaoran and Dong Guanglin and Wei Hui and Xu Zexu",

note = "Publisher Copyright: {\textcopyright} The Authors, published by EDP Sciences, 2018.; 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation, SMIMA 2018 ; Conference date: 24-05-2018 Through 26-05-2018",

year = "2018",

month = jun,

day = "19",

doi = "10.1051/matecconf/201817302037",

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volume = "173",

journal = "MATEC Web of Conferences",

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TY - JOUR

T1 - Speed and rotor resistance estimation of AC induction motor

AU - Dafang, Wang

AU - Miaoran, Wang

AU - Guanglin, Dong

AU - Hui, Wei

AU - Zexu, Xu

PY - 2018/6/19

Y1 - 2018/6/19

N2 - The speed estimation method based on Extended Kalman Filter (EKF) is widely used in speed sensorless induction motor. The method has high accuracy and good robustness. However, EKF is sensitive to parameters. In particular, the rotor resistance becomes up to twice the original when the motor is running. This greatly affects the speed identification accuracy. This paper achieves online estimation of rotor resistance utilizing the Model Reference Adaptive Controller (MRAC) based on reactive power. This ensures that the speed is estimated with high accuracy even if the rotor resistance changes suddenly. Simulation results have been presented to verify the effectiveness of the method.

AB - The speed estimation method based on Extended Kalman Filter (EKF) is widely used in speed sensorless induction motor. The method has high accuracy and good robustness. However, EKF is sensitive to parameters. In particular, the rotor resistance becomes up to twice the original when the motor is running. This greatly affects the speed identification accuracy. This paper achieves online estimation of rotor resistance utilizing the Model Reference Adaptive Controller (MRAC) based on reactive power. This ensures that the speed is estimated with high accuracy even if the rotor resistance changes suddenly. Simulation results have been presented to verify the effectiveness of the method.

UR - https://www.scopus.com/pages/publications/85051108830

U2 - 10.1051/matecconf/201817302037

DO - 10.1051/matecconf/201817302037

M3 - 会议文章

AN - SCOPUS:85051108830

SN - 2261-236X

VL - 173

JO - MATEC Web of Conferences

JF - MATEC Web of Conferences

M1 - 02037

T2 - 2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation, SMIMA 2018

Y2 - 24 May 2018 through 26 May 2018

ER -

Speed and rotor resistance estimation of AC induction motor

Abstract

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