Paper Title:
Study on the Intelligent Controller of DTC System at Low Speed
  Abstract

This paper presents the way of how to reduce the torque and flux linkage ripples, and having better dynamic and static state performance. A new type of neural network resistance observer is developed, on basis of BP neural network, to measure the real time stator resistance of induction motor. Another improved method using fuzzy and adaptive principle can track the change of torque by regulating the duty ratio of the voltage space vector.

  Info
Periodical
Edited by
Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding
Pages
311-315
DOI
10.4028/www.scientific.net/AMM.34-35.311
Citation
W. P. Cui, Y. Liu, X. L. Qu, "Study on the Intelligent Controller of DTC System at Low Speed", Applied Mechanics and Materials, Vols. 34-35, pp. 311-315, 2010
Online since
October 2010
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