Sensorless speed identification of vector - Controlled induction drives via neural network based estimation

Shyh Jier Huang, Ching Lien Huang, Yu Shin Lin

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

An application of neural network technique to sensorless speed identification of vector-controlled induction drives is implemented in this paper. In the proposed scheme, neural networks help estimate the rotor speed through stator measurements, allowing investment on speed sensors to be saved. High performance of this induction drive, however, can be ensured. We evaluated our approach based on the speed response and temperature rise perspectives. Load disturbance effects on the proposed approach were also included. The test results demonstrate the feasibility and superiority of the proposed method for the applications.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalElectric Power Systems Research
Volume48
Issue number1
Publication statusPublished - 1998 Dec 1

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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