Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 111-113 |
| Number of pages | 3 |
| Journal | Power Electronics and Drives |
| Volume | 3 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2018 |
| MoE publication type | B1 Non-refereed journal articles |
Keywords
- sensorless control
- extended Kalman filter
- unscented Kalman filter
- MRAS estimators
- neural networks