Design of a double manifold Sliding Mode observer for speed and state estimation of the induction motor

Vadim Kachkovskiy, Mihai Comanescu

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

Abstract

The paper discusses the problem of speed and state estimation for the induction motor (IM) drive and presents a double-manifold Sliding Mode observer. This is obtained by adding extra feedback terms to a single-manifold observer design. Both designs are based on the model of the IM in the stationary reference frame. The observer uses compound manifolds which are constructed as a combination of the estimated states and mismatches. Observers with compound manifolds have not been widely investigated because they cannot be designed using a standard procedure; however, they may have very interesting properties. The paper investigates the behavior of a single-manifold observer first; it is shown that this only converges partially and provides an approximate speed estimate. Based on this, a double-manifold observer is designed. This estimates the fluxes, drives the current mismatches to zero and yields an accurate speed estimate. The method is applicable in a sensorless IM drive control algorithm where the speed, the flux magnitude and the rotor flux angle are needed. The theoretical developments are supported with simulations.

Original languageEnglish (US)
Title of host publication2013 IEEE 10th International Conference on Power Electronics and Drive Systems, PEDS 2013
Pages1123-1126
Number of pages4
DOIs
StatePublished - 2013
Event2013 IEEE 10th International Conference on Power Electronics and Drive Systems, PEDS 2013 - Kitakyushu, Japan
Duration: Apr 22 2013Apr 25 2013

Publication series

NameProceedings of the International Conference on Power Electronics and Drive Systems

Other

Other2013 IEEE 10th International Conference on Power Electronics and Drive Systems, PEDS 2013
Country/TerritoryJapan
CityKitakyushu
Period4/22/134/25/13

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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