Synchronisation based adaptive parameter identification for permanent magnet synchronous motors

By L. Liu, D. Cartes. 2007

74 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/58d2d297ed5b5d7296c1120a8efe20feca024491

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. Babak Nahid-Mobarakeh
2. Thierry Boileau
3. Nicolas Leboeuf
4. Farid Meibody-Tabar

In Electrical and Electronic Engineering

1. Babak Nahid-Mobarakeh
2. Thierry Boileau
3. Nicolas Leboeuf
4. Farid Meibody-Tabar

In Statistical and Nonlinear Physics

1. Babak Nahid-Mobarakeh
2. Thierry Boileau
3. Nicolas Leboeuf
4. Farid Meibody-Tabar

Citations in the corpus

• Online Identification of PMSM Parameters: Parameter Identifiability and Estimator Comparative Study (2011, methodology): “Several online estimators have been presented in the literature: methods based on extended Kalman filter (EKF) [2], [3], neural networks [3]–[8], adaptive techniques [9], [10], modelreference-based approaches [2], [11], [12], or least squarebased methods [13], [14].”