Direct Torque Control of Induction Motor with Extended Kalman Filter

Pai, Dinesh A and Umanand, L and Rao, NJ (2000) Direct Torque Control of Induction Motor with Extended Kalman Filter. In: The Third International Power Electronics and Motion Control Conference, 2000. PIEMC 2000, 15-18 August, Beijing,China, Vol.1, 132 -137.

Preview

PDF direct.pdf Download (568kB)

Abstract

Induction motor speed control is an area of research that has been in prominence for some time now. Recent advances in this field have made it possible to replace the DC motor by induction machines, even in applications that demand a fast dynamic response. Many industrial applications demand high performance speed sensorless operation due to various reasons. Direct torque control (DTC) of induction motors is a popular method because of the resulting fast dynamic response of the motor, lower sensitivity to motor parameter variations and relatively low switching harmonics in the inverter. However, the present DTC approach is unsuitable for high-performance applications, especially at very low speeds, because of the need of a speed sensor for increased accuracy, system and measurement noises, and absence of any error decay mechanism. In this paper, an extended Kalman filter (EKF) is designed for stator flux and speed estimation. Estimated values along with other measured states are used for the closed loop speed sensorless control operation of the induction motor. At low speeds, where noise is predominant, performance is improved due to the filtering action of the EKF. Simulations are performed and the results discussed.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	Motor control;Extended Kalman Filter;State convergence
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	16 Feb 2006
Last Modified:	19 Sep 2010 04:23
URI:	http://eprints.iisc.ac.in/id/eprint/5407

Actions (login required)

View Item