Stator Flux Finite-time Observer for Non-Salient Permanent Magnet Synchronous Motors
Autor: | Anton A. Pyrkin, Stanislav Aranovskiy, Olga Kozachek, Alexey A. Bobtsov, Nikolay Nikolaev, Olga Slita |
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Přispěvatelé: | ITMO University [Russia], CentraleSupélec [campus de Rennes], Institut d'Électronique et des Technologies du numéRique (IETR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ) |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Observer (quantum physics) Permanent magnet synchronous motor Stator Computer science Flux [SPI.AUTO]Engineering Sciences [physics]/Automatic law.invention Quantitative Biology::Subcellular Processes Inductance 03 medical and health sciences 030104 developmental biology 0302 clinical medicine law Control theory Salient Finite time 030217 neurology & neurosurgery Mixing (physics) |
Zdroj: | MED 2020 28th Mediterranean Conference on Control and Automation (MED) 2020 28th Mediterranean Conference on Control and Automation (MED), Sep 2020, Saint-Raphaël, France. pp.958-963, ⟨10.1109/MED48518.2020.9183036⟩ |
DOI: | 10.1109/med48518.2020.9183036 |
Popis: | In this paper a gradient observer and finite-time observer of stator flux are developed for non-salient permanent magnet synchronous motors. The methods described here are based on implementation of linear time-invariant (LTI) filters and the dynamic regression extension and mixing (DREM) techniques. The motor resistance and inductance are assumed to be known. |
Databáze: | OpenAIRE |
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