Comparison of two nonlinear speed observers for induction motors Conference Paper

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Overview

abstract

• In this paper, the performances of two rotor flux and speed estimation methods used in speed sensorless vector controllers of induction motors are compared. Both Kalman Filter (KF) and Model Reference Adaptive System (MRAS) are the estimation methods discused and compared at the same conditions. The comparative study is done by means of stability, sensitivity to parameter variation and behavior in the low speed region taking into account the drawbacks inherent to this operating condition. Computer simulations and experimental tests have been carried out in identical conditions in order to realize a reliable comparison. ©2006 IEEE.

authors

• Gallegos M.A.
• Núñez Gutiérrez Ciro Alberto
• Álvarez Salas Ricardo

publication date

• 2006-01-01

published in

• IECON Proceedings (Industrial Electronics Conference)  Proceedings

Research

keywords

• AC motors; Adaptive systems; Computational methods; Computer simulation; Control theory; Electronics industry; Estimation; Industrial electronics; Motors; Sensitivity analysis; Speed; Annual conference; Comparative studies; Computer simulations; Estimation methods; Experimental testing; Identical conditions; Low speed; Model reference adaptive system; Operating conditions; Parameter variations; Rotor fluxes; Speed estimation; Speed observers; Speed sensor-less; Vector controllers; Induction motors

Identity

Digital Object Identifier (DOI)

• 10.1109/IECON.2006.347841

Additional Document Info

start page

• 799

end page

• 804