Performance improvement of DTC for induction motor-fed by three-level inverter with an uncertainty observer using RBFN

Kyo Beum Lee, Sung Hoe Huh, Ji Yoon Yoo, Frede Blaabjerg

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

A stable sensorless controller for DTC of induction motor fed by three-level inverter using the Radial Basis Function Network (RBFN) is presented in this paper. The torque ripple can be drastically reduced and low speed performance can be obtained in the DTC system for high performance induction motor drives. However, speed control performance is still influenced by the lumped uncertainties of the system such as parameter variations, external load disturbances, and unmodeled dynamics which make it difficult to obtain an exact mathematical model. In this paper, the lumped uncertainties are estimated on-line by the RBFN. Simulations as well as experimental results are shown to illustrate the performance of the proposed system.

Original languageEnglish
Pages (from-to)276-283
Number of pages8
JournalIEEE Transactions on Energy Conversion
Volume20
Issue number2
DOIs
Publication statusPublished - 2005 Jun

Keywords

  • AC motor drives
  • Direct Torque Control (DTC)
  • Neural network applications
  • Observers

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Performance improvement of DTC for induction motor-fed by three-level inverter with an uncertainty observer using RBFN'. Together they form a unique fingerprint.

  • Cite this