Abstract
In order to reduce the chattering and phase shift, this article proposes an enhanced sliding mode observer (SMO) for the sensorless control of permanent magnet synchronous motor (PMSM). In the conventional SMO, a low-pass filter (LPF) is commonly employed to extract the back electromotive forces (EMFs) from the sliding mode switching function, which brings the phase shift and degrades the precision of position and speed estimations. In this article, a frequency-adaptive complex-coefficient filter (FACCF) is adopted to replace the LPF. Since the FACCF has no phase shift and amplitude attenuation at the central frequency, it can be used to extract the EMFs without distortion while the chattering can also be suppressed. For an easy parameter design, the normalized phase-locked loop is used to obtain accurately the position and speed estimations. The experiments are carried out on a 3-kW PMSM drive, and the results verify the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Article number | 8892491 |
| Pages (from-to) | 335-343 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Industry Applications |
| Volume | 56 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2020 |
| Externally published | Yes |
Keywords
- Frequency-adaptive complex-coefficient filter (FACCF)
- permanent magnet synchronous motor (PMSM)
- position and speed estimation
- sliding mode observer (SMO)
Fingerprint
Dive into the research topics of 'Frequency-Adaptive Complex-Coefficient Filter-Based Enhanced Sliding Mode Observer for Sensorless Control of Permanent Magnet Synchronous Motor Drives'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver