Details
| Original language | English |
|---|---|
| Pages (from-to) | 1946-1962 |
| Number of pages | 17 |
| Journal | IEEE Journal of Emerging and Selected Topics in Power Electronics |
| Volume | 10 |
| Issue number | 2 |
| Publication status | Published - 10 Mar 2021 |
Abstract
This paper presents an evaluation of a family of Adaptive Position Estimators (APEs) for anisotropy-based Self-Sensing Control (SSC) of Permanent Magnet Synchronous Machine (PMSM). The APEs use the Gradient Descent Method (GDM) to minimise a cost function and thus estimate the rotor position. Three different APEs have been developed in previous work and are revised in this paper. Their dynamic performance is experimentally evaluated and compared with each other and with an encoder-based control using the same test bench. Simplified models are derived that allow an analytic calculation of the individual speed control loop dynamics. The speed control bandwidth using the latest APE reaches almost 50% of when using a 2000 slot incremental encoder. In addition, this version of APE with GDM features parameter tuning based on analytic equations.
Keywords
- anisotropy, Couplings, current oversampling, FPGA, Inductance, Mathematical model, Phase locked loops, PMSM, Power electronics, Rotors, Self-Sensing Control, Vehicle dynamics, self-sensing control (SSC), field-programmable gate array (FPGA), Anisotropy, permanent magnet synchronous machine (PMSM)
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
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In: IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 10, No. 2, 10.03.2021, p. 1946-1962.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A Family of Adaptive Position Estimators for PMSM Using the Gradient Descent Method
AU - Himker, Niklas
AU - Lindemann, Georg
AU - Wiedmann, Karsten
AU - Weber, Bastian
AU - Mertens, Axel
PY - 2021/3/10
Y1 - 2021/3/10
N2 - This paper presents an evaluation of a family of Adaptive Position Estimators (APEs) for anisotropy-based Self-Sensing Control (SSC) of Permanent Magnet Synchronous Machine (PMSM). The APEs use the Gradient Descent Method (GDM) to minimise a cost function and thus estimate the rotor position. Three different APEs have been developed in previous work and are revised in this paper. Their dynamic performance is experimentally evaluated and compared with each other and with an encoder-based control using the same test bench. Simplified models are derived that allow an analytic calculation of the individual speed control loop dynamics. The speed control bandwidth using the latest APE reaches almost 50% of when using a 2000 slot incremental encoder. In addition, this version of APE with GDM features parameter tuning based on analytic equations.
AB - This paper presents an evaluation of a family of Adaptive Position Estimators (APEs) for anisotropy-based Self-Sensing Control (SSC) of Permanent Magnet Synchronous Machine (PMSM). The APEs use the Gradient Descent Method (GDM) to minimise a cost function and thus estimate the rotor position. Three different APEs have been developed in previous work and are revised in this paper. Their dynamic performance is experimentally evaluated and compared with each other and with an encoder-based control using the same test bench. Simplified models are derived that allow an analytic calculation of the individual speed control loop dynamics. The speed control bandwidth using the latest APE reaches almost 50% of when using a 2000 slot incremental encoder. In addition, this version of APE with GDM features parameter tuning based on analytic equations.
KW - anisotropy
KW - Couplings
KW - current oversampling
KW - FPGA
KW - Inductance
KW - Mathematical model
KW - Phase locked loops
KW - PMSM
KW - Power electronics
KW - Rotors
KW - Self-Sensing Control
KW - Vehicle dynamics
KW - self-sensing control (SSC)
KW - field-programmable gate array (FPGA)
KW - Anisotropy
KW - permanent magnet synchronous machine (PMSM)
UR - http://www.scopus.com/inward/record.url?scp=85102643594&partnerID=8YFLogxK
U2 - 10.1109/JESTPE.2021.3065211
DO - 10.1109/JESTPE.2021.3065211
M3 - Article
AN - SCOPUS:85102643594
VL - 10
SP - 1946
EP - 1962
JO - IEEE Journal of Emerging and Selected Topics in Power Electronics
JF - IEEE Journal of Emerging and Selected Topics in Power Electronics
SN - 2168-6777
IS - 2
ER -