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Sensorless Control of Induction-Motor Drive Based on Robust Kalman Filter and Adaptive Speed Estimation.
- Source :
- IEEE Transactions on Industrial Electronics; Mar2014, Vol. 61 Issue 3, p1444-1453, 10p
- Publication Year :
- 2014
-
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. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 02780046
- Volume :
- 61
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Industrial Electronics
- Publication Type :
- Academic Journal
- Accession number :
- 89975725
- Full Text :
- https://doi.org/10.1109/TIE.2013.2257142