Speed sensorless control with neuron MARS estimator of an induction machine

Dong Lei; Yang Dong; Liao Xiaozhong

doi:10.1109/PESA.2006.343088

Speed sensorless control with neuron MARS estimator of an induction machine

Dong Lei^*, Yang Dong, Liao Xiaozhong

^*Corresponding author for this work

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In the high speed range, vector control of rotor flux orientation of an induction machine implements good perfornance. However, the perfornance in low speed rang deteriorates because of the inaccurate estimation of rotor flux and speed. In this paper, modified voltage model for rotor flux estimation and neuron model-reference adaptive system (MARS) for speed estimation are used to improve the perfornance of speed sensorless vector control. To improve the accuracy of rotor flux estimation, the stator resistance is identified on-line. The experimental results show that the proposed scheme yields improved perfornance in low speed range.

Original language	English
Title of host publication	2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA
Pages	147-152
Number of pages	6
DOIs	https://doi.org/10.1109/PESA.2006.343088
Publication status	Published - 2006
Event	2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA - Hong Kong, Hong Kong Duration: 12 Nov 2006 → 14 Nov 2006

Publication series

Name	2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA

Conference

Conference	2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA
Country/Territory	Hong Kong
City	Hong Kong
Period	12/11/06 → 14/11/06

Keywords

Induction machine
MARS
Neuron model
Speed sensorless control
Stator resistance identification

Access to Document

10.1109/PESA.2006.343088

Cite this

Lei, D., Dong, Y., & Xiaozhong, L. (2006). Speed sensorless control with neuron MARS estimator of an induction machine. In 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA (pp. 147-152). Article 4147801 (2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA). https://doi.org/10.1109/PESA.2006.343088

@inproceedings{645bf01dd6ca40338c552a4647d84d95,

title = "Speed sensorless control with neuron MARS estimator of an induction machine",

abstract = "In the high speed range, vector control of rotor flux orientation of an induction machine implements good perfornance. However, the perfornance in low speed rang deteriorates because of the inaccurate estimation of rotor flux and speed. In this paper, modified voltage model for rotor flux estimation and neuron model-reference adaptive system (MARS) for speed estimation are used to improve the perfornance of speed sensorless vector control. To improve the accuracy of rotor flux estimation, the stator resistance is identified on-line. The experimental results show that the proposed scheme yields improved perfornance in low speed range.",

keywords = "Induction machine, MARS, Neuron model, Speed sensorless control, Stator resistance identification",

author = "Dong Lei and Yang Dong and Liao Xiaozhong",

year = "2006",

doi = "10.1109/PESA.2006.343088",

language = "English",

isbn = "9623675445",

series = "2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA",

pages = "147--152",

booktitle = "2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA",

note = "2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA ; Conference date: 12-11-2006 Through 14-11-2006",

}

Lei, D, Dong, Y & Xiaozhong, L 2006, Speed sensorless control with neuron MARS estimator of an induction machine. in 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA., 4147801, 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA, pp. 147-152, 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA, Hong Kong, Hong Kong, 12/11/06. https://doi.org/10.1109/PESA.2006.343088

Speed sensorless control with neuron MARS estimator of an induction machine. / Lei, Dong; Dong, Yang; Xiaozhong, Liao.
2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA. 2006. p. 147-152 4147801 (2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Speed sensorless control with neuron MARS estimator of an induction machine

AU - Lei, Dong

AU - Dong, Yang

AU - Xiaozhong, Liao

PY - 2006

Y1 - 2006

N2 - In the high speed range, vector control of rotor flux orientation of an induction machine implements good perfornance. However, the perfornance in low speed rang deteriorates because of the inaccurate estimation of rotor flux and speed. In this paper, modified voltage model for rotor flux estimation and neuron model-reference adaptive system (MARS) for speed estimation are used to improve the perfornance of speed sensorless vector control. To improve the accuracy of rotor flux estimation, the stator resistance is identified on-line. The experimental results show that the proposed scheme yields improved perfornance in low speed range.

AB - In the high speed range, vector control of rotor flux orientation of an induction machine implements good perfornance. However, the perfornance in low speed rang deteriorates because of the inaccurate estimation of rotor flux and speed. In this paper, modified voltage model for rotor flux estimation and neuron model-reference adaptive system (MARS) for speed estimation are used to improve the perfornance of speed sensorless vector control. To improve the accuracy of rotor flux estimation, the stator resistance is identified on-line. The experimental results show that the proposed scheme yields improved perfornance in low speed range.

KW - Induction machine

KW - MARS

KW - Neuron model

KW - Speed sensorless control

KW - Stator resistance identification

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U2 - 10.1109/PESA.2006.343088

DO - 10.1109/PESA.2006.343088

M3 - Conference contribution

AN - SCOPUS:50249104328

SN - 9623675445

SN - 9789623675444

T3 - 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA

SP - 147

EP - 152

BT - 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA

T2 - 2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA

Y2 - 12 November 2006 through 14 November 2006

ER -

Speed sensorless control with neuron MARS estimator of an induction machine

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Keywords

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