Introduction to the Special Section on State and Parameter Estimation Methods for Sensorless Drives

• Autorzy: Barut M. , Hinkkanen M. , Orlowska-Kowalska T.

Identyfikatory

DOI

10.2478/pead-2018-0018

• Języki publikacji: EN

Abstrakty

EN

This short article constitutes an introductory part of the Special Section (SS) on State and Parameter Estimation Methods in Sensorless Drives. In the current issue of the journal, the first part of this section is published. Accepted articles are focussed mainly on estimation of the state variables and parameters for vector-controlled induction motor (IM) drives, using different concepts, such as different types of Kalman filters (KFs) and model reference adaptive systems (MRASs). The KF was also proposed for brushless DC motor (BLDC). Also, neural networks (NNs) have been proposed for mechanical state variables’ estimation of the drive system with elastic couplings.

Słowa kluczowe

EN

sensorless control; extended Kalman filter; unscented Kalman filter; MRAS estimators; neural networks

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2018
• Tom: Vol. 3 (38), No. 1
• Strony: 111--113

Twórcy

autor

Barut M.

• Department of Electrical and Electronics Engineering, Nigde Omer Halisdemir University, Nigde, Turkey

autor

Hinkkanen M.

• Department of Electrical Engineering and Automation, Aalto University, Aalto, Finland

autor

Orlowska-Kowalska T.

• Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, Wroclaw, Poland