Influence of Parameter Uncertainty to Stator Current Reconstruction Using Modified Luenberger Observer for Current Sensor Fault-Tolerant Induction Motor Drive.

fault-tolerant control induction motor drive modified Luenberger observer stator current estimation

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
14 Dec 2022
Historique:
received: 13 11 2022
revised: 10 12 2022
accepted: 12 12 2022
entrez: 23 12 2022
pubmed: 24 12 2022
medline: 27 12 2022
Statut: epublish

Résumé

In modern systems with induction motors (IM), in addition to precision, it is also very important to ensure the highest possible reliability and safety. To ensure the above, information about the stator current value is required. If the current sensor (CS) fails, a redundant sensor or an algorithmic solution can be used. The Luenberger observer (LO) can be used to estimate the lost stator current without increasing the cost of the drive system. However, this solution is based on the mathematical model of IM, which is sensitive to its parameters. Therefore, this paper presents a modified LO (MLO) and investigates the effect of a coefficient in the error gain matrix on improving robustness to changes in the IM parameters. As shown by extensive studies, the proposed solution has significantly reduced the influence of the IM parameters on the accuracy of the stator current estimation, which has not been previously reported in the known literature.

Identifiants

pubmed: 36560188
pii: s22249813
doi: 10.3390/s22249813
pmc: PMC9781570
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Science Centre Poland
ID : 2021/41/B/ST7/02971

Références

Sensors (Basel). 2019 Nov 15;19(22):
pubmed: 31731676
ISA Trans. 2021 Mar;109:295-306
pubmed: 33039165

Auteurs

Michal Adamczyk (M)

Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland.

Teresa Orlowska-Kowalska (T)

Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland.

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Classifications MeSH