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Sensorless Control of Induction-Motor Drive Based on Robust Kalman Filter and Adaptive Speed Estimation | IEEE Journals & Magazine | IEEE Xplore

Sensorless Control of Induction-Motor Drive Based on Robust Kalman Filter and Adaptive Speed Estimation


Abstract:

This paper deals with robust estimation of rotor flux and speed for sensorless control of motion control systems with an induction motor. Instead of using sixth-order ext...Show More

Abstract:

This paper deals with robust estimation of rotor flux and speed for sensorless control of motion control systems with an induction motor. Instead of using sixth-order extended Kalman filters (EKFs), rotor flux is estimated by means of a fourth-order descriptor-type robust KF, which explicitly takes into account motor parameter uncertainties, whereas the speed is estimated using a recursive least squares algorithm starting from the knowledge of the rotor flux itself. It is shown that the descriptor-type structure allows for a direct translation of parameter uncertainties into variations of the coefficients appearing in the model, and this improves the degree of robustness of the estimates. Experimental findings, carried out on a closed-loop system consisting of a low-power induction-motor-load system, a proportional-integral-type controller, and the proposed estimator, are shown with the aim of verifying the goodness of the whole closed-loop control system.
Published in: IEEE Transactions on Industrial Electronics ( Volume: 61, Issue: 3, March 2014)
Page(s): 1444 - 1453
Date of Publication: 05 April 2013

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