Sensor fault diagnosis strategy based on rotor flux observers in three-phase induction motor drive
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10259682" target="_blank" >RIV/61989100:27240/25:10259682 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41598-025-29381-9" target="_blank" >https://www.nature.com/articles/s41598-025-29381-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-025-29381-9" target="_blank" >10.1038/s41598-025-29381-9</a>
Alternative languages
Result language
angličtina
Original language name
Sensor fault diagnosis strategy based on rotor flux observers in three-phase induction motor drive
Original language description
Sensors are crucial in induction motor drives (IMDs) by providing real-time feedback essential for precise and stable speed control. Malfunctions in speed or current sensors can seriously impair system performance and reduce reliability. This study proposes a fault-tolerant control (FTC) strategy that combines a rotor flux observer with a signal similarity-based diagnosis algorithm to detect, isolate, and compensate for sensor faults within the field-oriented control (FOC) framework. Once a fault is detected, the control system is reconfigured instantly by replacing faulty measurements with estimated values, ensuring stability during operation. The effectiveness of the method is evaluated through both simulation and experimental tests on a laboratory platform using a TMS320F28335 digital signal controller. Simulation results confirm the approach's ability to identify different fault types with minimal delay accurately. Real-time experiments further validate the method's practical application under typical operating conditions. Across all test scenarios, the system successfully maintains performance by smoothly switching between sensor-based and sensorless control modes. These results highlight the robustness and dependability of the proposed FTC scheme for IMDs experiencing sensor faults.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Reports
ISSN
2045-2322
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
1
Country of publishing house
GB - UNITED KINGDOM
Number of pages
31
Pages from-to
nestránkováno
UT code for WoS article
001654833500001
EID of the result in the Scopus database
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