Speed sensorless control with neuron MARS estimator of an induction machine

Dong Lei*, Yang Dong, Liao Xiaozhong

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

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.

源语言英语
主期刊名2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA
147-152
页数6
DOI
出版状态已出版 - 2006
活动2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA - Hong Kong, 香港
期限: 12 11月 200614 11月 2006

出版系列

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

会议

会议2006 2nd International Conference on Power Electronics Systems and Applications, ICPESA
国家/地区香港
Hong Kong
时期12/11/0614/11/06

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