A hybrid adaptive observer for the speed and flux estimation of induction motors

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

1 Scopus citations

Abstract

The paper presents a speed adaptive observer for the induction motor (IM) drive that can be used in a sensorless implementation. The observer is based on the model of the IM in the stationary reference frame: it uses linear feedback terms to estimate the fluxes and an adaptive law to estimate the speed. The feedback gains are designed using Lyapunov's nonlinear stability method. The investigation finds that the initial design only performs in limited speed range - as the speed increases, the speed estimate of the observer becomes inaccurate. Based on the initial design, the paper develops a hybrid observer: this uses a speed signal as an additional input (this input speed signal is relatively inaccurate - it can be an initial estimate of the motor speed or an estimate of the synchronous speed). It is shown that the hybrid design can be tuned to perform well in wide speed range: it yields relatively accurate estimates of the fluxes and speed. The theoretical developments are supported with simulations and experiments.

Original languageEnglish (US)
Title of host publication2016 IEEE Applied Power Electronics Conference and Exposition, APEC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2855-2860
Number of pages6
ISBN (Electronic)9781467383936
DOIs
StatePublished - May 10 2016
Event31st Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2016 - Long Beach, United States
Duration: Mar 20 2016Mar 24 2016

Publication series

NameConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
Volume2016-May

Other

Other31st Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2016
Country/TerritoryUnited States
CityLong Beach
Period3/20/163/24/16

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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