State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning

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 se...

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Autores principales:	Lorenzo Carbone, Simone Cosso, Mario Marchesoni, Massimiliano Passalacqua, Luis Vaccaro
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Permanent Magnet Synchronous Motors (PMSM) sensorless control speed control stability analysis rotor flux observer Technology T
Acceso en línea:	https://doaj.org/article/054529140be94d18b0a19bbdda269cdf
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id	oai:doaj.org-article:054529140be94d18b0a19bbdda269cdf
record_format	dspace
spelling	oai:doaj.org-article:054529140be94d18b0a19bbdda269cdf2021-11-11T15:57:15ZState-Space Approach for SPMSM Sensorless Passive Algorithm Tuning10.3390/en142171801996-1073https://doaj.org/article/054529140be94d18b0a19bbdda269cdf2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7180https://doaj.org/toc/1996-1073Sensorless 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.Lorenzo CarboneSimone CossoMario MarchesoniMassimiliano PassalacquaLuis VaccaroMDPI AGarticlePermanent Magnet Synchronous Motors (PMSM)sensorless controlspeed controlstability analysisrotor flux observerTechnologyTENEnergies, Vol 14, Iss 7180, p 7180 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Permanent Magnet Synchronous Motors (PMSM) sensorless control speed control stability analysis rotor flux observer Technology T
spellingShingle	Permanent Magnet Synchronous Motors (PMSM) sensorless control speed control stability analysis rotor flux observer Technology T Lorenzo Carbone Simone Cosso Mario Marchesoni Massimiliano Passalacqua Luis Vaccaro State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning
description	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.
format	article
author	Lorenzo Carbone Simone Cosso Mario Marchesoni Massimiliano Passalacqua Luis Vaccaro
author_facet	Lorenzo Carbone Simone Cosso Mario Marchesoni Massimiliano Passalacqua Luis Vaccaro
author_sort	Lorenzo Carbone
title	State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning
title_short	State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning
title_full	State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning
title_fullStr	State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning
title_full_unstemmed	State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning
title_sort	state-space approach for spmsm sensorless passive algorithm tuning
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/054529140be94d18b0a19bbdda269cdf
work_keys_str_mv	AT lorenzocarbone statespaceapproachforspmsmsensorlesspassivealgorithmtuning AT simonecosso statespaceapproachforspmsmsensorlesspassivealgorithmtuning AT mariomarchesoni statespaceapproachforspmsmsensorlesspassivealgorithmtuning AT massimilianopassalacqua statespaceapproachforspmsmsensorlesspassivealgorithmtuning AT luisvaccaro statespaceapproachforspmsmsensorlesspassivealgorithmtuning
_version_	1718432518751911936

State-Space Approach for SPMSM Sensorless Passive Algorithm Tuning

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