Adaptation of stator and rotor resistances for the vector control of induction motors: A method based on reduced order current observer

Kang Zhi Liu, Keigo Arima, Keiichiro Kondo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper deals with the parameter adaptation problem of induction motors. It is well understood that the resistances of the stator and the rotor vary significantly in continuous operation. So, to prevent control performance degradation due to parameter error of the induction motor, online parameter adaptation is required. This paper proposes a new method, which is composed of two parts: A stator current observer and a parameter updating law. An outstanding feature of this method is that the rotor flux observer is not used. Instead, the flux reference value is used in the stator current observer which greatly simplifies the implementation. Simulations show that this method works satisfactorily.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control Conference, CCC 2013
PublisherIEEE Computer Society
Pages7656-7661
Number of pages6
ISBN (Print)9789881563835
Publication statusPublished - 2013 Oct 18
Externally publishedYes
Event32nd Chinese Control Conference, CCC 2013 - Xi'an, China
Duration: 2013 Jul 262013 Jul 28

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference32nd Chinese Control Conference, CCC 2013
Country/TerritoryChina
CityXi'an
Period13/7/2613/7/28

Keywords

  • Induction motor
  • Lyapunov theory
  • Parameter identification
  • Reduced order observer
  • Vector control

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modelling and Simulation

Fingerprint

Dive into the research topics of 'Adaptation of stator and rotor resistances for the vector control of induction motors: A method based on reduced order current observer'. Together they form a unique fingerprint.

Cite this