Open AccessOpen‐switch fault diagnosis in voltage source inverters of PMSM drives using predictive current errors and fuzzy logic approach
Author(s) -
Gmati Badii,
Jlassi Imed,
Khojet El Khil Sejir,
Marques Cardoso Antonio J.
Publication year - 2021
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/pel2.12098
Subject(s) - robustness (evolution) , control theory (sociology) , fuzzy logic , stator , inverter , computer science , fault (geology) , fault detection and isolation , voltage , fault tolerance , control engineering , engineering , electrical engineering , artificial intelligence , control (management) , distributed computing , biochemistry , chemistry , seismology , geology , actuator , gene
In critical industrial applications fault diagnosis and fault tolerance are considered key features, in order to ensure the required reliability and availability levels. In this context, this paper proposes a new and effective diagnostic algorithm for power semiconductors open‐circuit faults, in three‐phase, two‐level, voltage‐source inverter‐fed permanent magnet synchronous machine (PMSM). The proposed method is based on the analysis of the errors between the reference currents and the PMSM stator predictive currents. Hence, for each phase of the PMSM two fault diagnostic variables have been defined, which allow the diagnosis of both single and multiple open‐circuit faults. The fuzzy logic approach is applied to the fault diagnostic variables in order to identify the faulty power switches. The method is experimentally validated on a model predictive controlled (MPC) permanent magnet synchronous motor (PMSM) drive, which shows the effectiveness of the fault diagnosis algorithm with a high robustness regarding the operating point and parameter variations of the PMSM drive system.