Low speed stability research of adaptive full-order observer for induction motor

Wei Chen, Yong Yu, Rongfeng Yang, Zhuang Xu, Dianguo Xu

Research output: Journal PublicationArticlepeer-review

32 Citations (Scopus)

Abstract

In the speed-sensorless induction motor (IM) drive system adopting the adaptive full-order observer method, an unstable region encountered in the regenerating mode at low speeds is well known. To solve the problem, a novel speed estimation method is presented. Based on the small signal linearized model of IM, it deduced the transfer function of the speed adaptive estimation system and then developed a novel speed adaptive estimation method by applying Routh-Hurwitz criteria. The speed accuracy could be greatly improved by adding the magnetizing current error to the general speed estimation law, and the instability behavior in the low speed regenerating mode could be remedied by adjusting the adaptation gain on-line. Concerning the motor parameters variation during the operation, the robustness of the presented method was analyzed as well. The feasibility of the proposed scheme was verified by the experimental results of speed sensorless field-oriented vector controlled 7.5 kW induction motor platform. Experimental results show that the estimation accuracy of the speed and the low speed performance is greatly improved, and also a stable operation is acquired in a very wide speed range.

Original languageEnglish
Pages (from-to)33-40
Number of pages8
JournalZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume30
Issue number36
Publication statusPublished - 25 Dec 2010
Externally publishedYes

Keywords

  • Adaptive full-order observer
  • Induction motor
  • Regenerating mode
  • Speed adaptation law
  • Speed sensorless
  • Stability analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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