@inproceedings{d379a7830f144a1eb52cc67c1706a986,
title = "Design and implementation of a Sliding Mode Pseudo-MRAS speed and load torque estimator for the induction motor",
abstract = "The paper discusses the problem of speed and load torque estimation for the induction motor drive. Estimation is done considering that the motor fluxes in the stationary frame are available - these have been obtained using a Voltage Model Observer. With known fluxes, the paper designs a sliding mode observer that estimates both the speed and load torque. The observer is designed using an extended model of the motor. The method uses a different approach and is a significant improvement over the classic Model Reference Adaptive System (MRAS) method (which only estimates the speed). Simulations show that, owing to the sliding mode high-gain feedback, the speed estimate is robust and accurate both at steady-state and during transient; the estimate of the load torque is also accurate.",
author = "Brandon Murray and James Orr and Mihai Comanescu",
year = "2016",
month = dec
day = "21",
doi = "10.1109/IECON.2016.7793106",
language = "English (US)",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
pages = "2743--2747",
booktitle = "Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society",
address = "United States",
note = "42nd Conference of the Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",
}