State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning

Lorenzo Carbone, Simone Cosso, Mario Marchesoni, Massimiliano Passalacqua and Luis Vaccaro
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Lorenzo Carbone: Department of Electrical, Electronic, Tlc Engineering and Naval Architecture (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy
Simone Cosso: Department of Electrical, Electronic, Tlc Engineering and Naval Architecture (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy
Mario Marchesoni: Department of Electrical, Electronic, Tlc Engineering and Naval Architecture (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy
Massimiliano Passalacqua: Department of Electrical, Electronic, Tlc Engineering and Naval Architecture (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy
Luis Vaccaro: Department of Electrical, Electronic, Tlc Engineering and Naval Architecture (DITEN), University of Genova, Via all’Opera Pia 11a, 16145 Genova, Italy

Energies, 2021, vol. 14, issue 21, 1-11

Abstract: Sensorless algorithms for Permanent Magnet Synchronous Motors (PMSM) have achieved increasing interest in the technical literature over the last few years. They can be divided into active methods and passive methods: the first inject high-frequency signals exploiting rotor anisotropy, whereas the second are based on observers. Recently, a sensorless control based on a rotor flux observer has been presented in the technical literature, which gives very accurate results in terms of rotor position estimation and robustness. In this paper, the aforementioned observer is considered and a procedure for choosing stabilizing gains of the observer is proposed. The contribution of the paper is three-fold: the mathematical modelling of the rotor flux observer, the methodology for the definition of the observer gains, and the presentation of the experimental results.

Keywords: Permanent Magnet Synchronous Motors (PMSM); sensorless control; speed control; stability analysis; rotor flux observer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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