Design of a MRAS-type sliding mode observer for estimation of the rotor time constant of the induction motor

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

2 Scopus citations

Abstract

The paper discusses the problem of estimating the rotor time constant of the induction motor. Estimation is done considering that the stationary frame fluxes are available. The fluxes are obtained using a voltage model observer - the paper assumes that the stator resistance and the magnetizing inductance of the motor are known, therefore, the fluxes are accurate. The inverse of the rotor time constant is estimated with a MRAS-type sliding mode observer that uses the incoming fluxes to construct the feedback terms; it also uses a speed signal at the input. Since the speed may be inaccurate, this affects the estimation process. The paper shows that the error in the estimated rotor time constant can be reduced by operating the induction motor with a low ratio of id to iq. The estimation method involves only simple mathematics and is not computationally intensive. The theoretical claims of the paper are supported with simulations and experiments.

Original languageEnglish (US)
Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PublisherIEEE Computer Society
Pages2748-2753
Number of pages6
ISBN (Electronic)9781509034741
DOIs
StatePublished - Dec 21 2016
Event42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
Duration: Oct 24 2016Oct 27 2016

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

Other42nd Conference of the Industrial Electronics Society, IECON 2016
CountryItaly
CityFlorence
Period10/24/1610/27/16

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Comanescu, M. (2016). Design of a MRAS-type sliding mode observer for estimation of the rotor time constant of the induction motor. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 2748-2753). [7793350] (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793350