6533b822fe1ef96bd127ca68

RESEARCH PRODUCT

Diagnosis of Sensor Faults in PMSM and Drive System Based on Structural Analysis

Martin ChouxVan Khang HuynhSaeed Hasan Ebrahimi

subject

Computer science020208 electrical & electronic engineering020302 automobile design & engineering02 engineering and technologyMechatronicsFault (power engineering)Matrix decomposition0203 mechanical engineeringControl theory0202 electrical engineering electronic engineering information engineeringDecomposition (computer science)Redundancy (engineering)TorqueState (computer science)Synchronous motor

description

This paper presents a model-based fault diagnosis method to detect sensor faults in permanent magnet synchronous motor (PMSM) drives based on structural analysis technique. The structural model is built based on the dynamic model of the PMSM in matrix form, including unknown variables, known variables, and faults. The Dulmage-Mendelsohn (DM) decomposition is applied to evaluate the redundancy of the model and obtain redundant testable sub-models. These testable redundant sub-models are used to form residuals to observe the system state, and distinguish between healthy and faulty conditions. This work investigates faults in eleven sensors in a PMSM drive, thus nine structured residuals are designed to detect and isolate the investigated faults, which are applied to the system at different time intervals. Finally, the effectiveness of the proposed diagnostic approach is experimentally validated on an in-house setup of inverter-fed PMSMs.

yearjournalcountryeditionlanguage
2021-03-072021 IEEE International Conference on Mechatronics (ICM)
https://doi.org/10.1109/icm46511.2021.9385663