2016•Unpublished venueRequires access

A sensorless speed estimation for indirect vector control of three-phase induction motor using Extended Kalman Filter

JongKwang Kim, YongKeun Lee, JangHyeon Lee

Abstract

The accuracy of a sensorless indirect vector control of three-phase induction motor highly depends on a rotor flux, a rotor flux angle and a rotor speed. In this paper, an Extended Kalman Filter (EKF) is presented to accurately estimate the rotor flux, the rotor flux angle and the rotor speed using the direct measurement of the stator currents and voltages only. In spite of its complex computation, the EKF estimates and responses well during the steady and transient period since it has innate high convergence rate. The detailed algorithm for EKF is elucidated and the performance is verified via Matlab/Simulink simulation.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Control theory (sociology), Extended Kalman filter, Induction motor, Rotor (electric), Stator, Vector control, Kalman filter, Transient (computer programming)