Design and implementation of a Sliding Mode Pseudo-MRAS speed and load torque estimator for the induction motor

Brandon Murray, James Orr, Mihai Comanescu

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

1 Scopus citations

Abstract

The paper discusses the problem of speed and load torque estimation for the induction motor drive. Estimation is done considering that the motor fluxes in the stationary frame are available - these have been obtained using a Voltage Model Observer. With known fluxes, the paper designs a sliding mode observer that estimates both the speed and load torque. The observer is designed using an extended model of the motor. The method uses a different approach and is a significant improvement over the classic Model Reference Adaptive System (MRAS) method (which only estimates the speed). Simulations show that, owing to the sliding mode high-gain feedback, the speed estimate is robust and accurate both at steady-state and during transient; the estimate of the load torque is also accurate.

Original languageEnglish (US)
Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PublisherIEEE Computer Society
Pages2743-2747
Number of pages5
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

Murray, B., Orr, J., & Comanescu, M. (2016). Design and implementation of a Sliding Mode Pseudo-MRAS speed and load torque estimator for the induction motor. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 2743-2747). [7793106] (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793106