Stator-Current-Based MRAS Estimator for a Wide Range Speed-Sensorless Induction-Motor Drive

By T. Orłowska-Kowalska, M. Dybkowski. IEEE transactions on industrial electronics (1982. Print), 2010

414 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8a689869b9342fac4e15f572aeb166d4c7aab89c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Nguyen Trung Hieu
2. C. Xia
3. Quang Nguyen Khanh
4. Tingna Shi
5. Quang Phuc Ha

In Electrical and Electronic Engineering

1. Xiangning He
2. Nguyen Trung Hieu
3. C. Xia
4. Quang Nguyen Khanh
5. Tingna Shi
6. Quang Phuc Ha

Citations in the corpus

• FPGA-Based Sensorless PMSM Speed Control Using Reduced-Order Extended Kalman Filters (2014, methodology): “For the sensorless drive technology, while a slidingmode observer (SMO) [12]–[14] may suffer from the chattering effect and the MRAS estimator [9] may have a difficulty in the parameter adaptation, an extended Kalman filter (EKF) [15]– [18], which is a nonlinear version for the recursive stochastic ”
• New Sliding-Mode Observer for Position Sensorless Control of Permanent-Magnet Synchronous Motor (2013, methodology): “Model reference adaptive method [13]–[15] and extended Kalman filtering method”