Speed-Sensorless Estimation for Induction Motors Using Extended Kalman Filters
Top Cited Papers
- 5 February 2007
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Electronics
- Vol. 54 (1), 272-280
- https://doi.org/10.1109/tie.2006.885123
Abstract
In this paper, extended-Kalman-filter-based estimation algorithms that could be used in combination with the speed-sensorless field-oriented control and direct-torque control of induction motors (IMs) are developed and implemented experimentally. The algorithms are designed aiming minimum estimation error in both transient and steady state over a wide velocity range, including very low and persistent zero-speed operation. A major challenge at very low and zero speed is the lost coupling effect from the rotor to the stator, which makes the information on rotor variables unobservable on the stator side. As a solution to this problem, in this paper, the load torque and the rotor angular velocity are simultaneously estimated, with the velocity taken into consideration via the equation of motion and not as a constant parameter, which is commonly the case in most past studies. The estimation of load torque, on the other hand, is performed as a constant parameter to account for Coulomb and viscous friction at steady state to improve the estimation performance at very low and zero speed. The estimation algorithms developed based on the rotor and stator fluxes are experimentally tested under challenging variations and reversals of the velocity and load torque (step-type and varying linearly with velocity) over a wide velocity range and at zero speed. In all the scenarios, the current estimation error has remained within a very narrow error band, also yielding acceptable velocity estimation errors, which motivate the use of the developed estimation method in sensorless control of IMs over a wide velocity range and persistent zero-speed operationKeywords
This publication has 20 references indexed in Scilit:
- EKF based estimation for direct vector control of induction motorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Drift- and parameter-compensated flux estimator for persistent zero-stator-frequency operation of sensorless-controlled induction motorsIEEE Transactions on Industry Applications, 2003
- An application of EKF for the position control of a single link armPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Sensorless control of induction motors-performance and limitationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Speed estimation of an induction motor drive using an optimized extended Kalman filterIEEE Transactions on Industrial Electronics, 2002
- Comparative study of a sliding-mode observer and Kalman filters for full state estimation in an induction machineIEE Proceedings - Electric Power Applications, 2002
- Reduced-order observers for rotor flux, rotor resistance and speed estimation for vector controlled induction motor drives using the extended Kalman filter techniqueIEE Proceedings - Electric Power Applications, 1999
- Observer-based speed estimation method for sensorless vector control of induction motorsIEE Proceedings - Control Theory and Applications, 1998
- Speed sensorless vector control of induction motor using extended Kalman filterIEEE Transactions on Industry Applications, 1994
- A new EKF-based algorithm for flux estimation in induction machinesIEEE Transactions on Industrial Electronics, 1993