Design of a pseudo-MRAS sliding mode observer with double feedback for estimation of the rotor time constant of the induction motor

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Abstract

The paper presents a method to estimate the inverse of the rotor time constant of the induction motor. The estimation is done using a sliding mode observer under the assumption that the stationary frame fluxes are known. These fluxes are first obtained using a voltage model observer; they are also used for field orientation. With measured voltages, currents, known fluxes and speed, the rotor time constant is estimated using a pseudo-MRAS sliding mode observer with dual feedback terms. The paper shows the design of this observer - this works well under ideal conditions. However, if the speed is inaccurate or if the magnetizing inductance saturates, the estimation accuracy suffers. The paper develops a model for the saturated induction motor and, using the equivalent controls that correspond to the sliding mode terms, attempts to estimate the saturation level - however, it is found that this is not possible.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Industrial Technology, ICIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages270-275
Number of pages6
ISBN (Electronic)9781509053209
DOIs
StatePublished - Apr 26 2017
Event2017 IEEE International Conference on Industrial Technology, ICIT 2017 - Toronto, Canada
Duration: Mar 23 2017Mar 25 2017

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Other

Other2017 IEEE International Conference on Industrial Technology, ICIT 2017
CountryCanada
CityToronto
Period3/23/173/25/17

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Comanescu, M. (2017). Design of a pseudo-MRAS sliding mode observer with double feedback for estimation of the rotor time constant of the induction motor. In 2017 IEEE International Conference on Industrial Technology, ICIT 2017 (pp. 270-275). [7913095] (Proceedings of the IEEE International Conference on Industrial Technology). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2017.7913095