Model reference adaptive speed control for induction motor drive using neural networks

Kuo Kai Shyu, Hsin Jang Shieh, Sheng Shang Fu

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

A model reference adaptive speed control using neural networks is presented. The robust observer-based model reference tracking control technique is used to establish the training patterns. Then, the trained neural networks are used as the adaptive speed controller to robustly track a reference model for an induction motor drive.

Original languageEnglish
Pages (from-to)180-182
Number of pages3
JournalIEEE Transactions on Industrial Electronics
Volume45
Issue number1
DOIs
StatePublished - 1998

Keywords

  • Adaptive control
  • Induction motor drive
  • Neural networks

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