Open AccessDemagnetization Fault Diagnosis of Permanent Magnet Synchronous Motor with Inductance Disturbance
Author(s) -
Fan Xiao,
Jing He,
Miaoying Zhang
Publication year - 2021
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2021.p0647
Subject(s) - inductance , control theory (sociology) , fault (geology) , demagnetizing field , flux linkage , observer (physics) , computer science , synchronous motor , disturbance (geology) , voltage , engineering , induction motor , physics , geology , electrical engineering , direct torque control , artificial intelligence , magnetic field , paleontology , control (management) , magnetization , quantum mechanics , seismology
To address the problem of demagnetization fault diagnosis of permanent magnet synchronous motor (PMSM) under inductance change, a demagnetization fault detection method based on an adaptive observer is proposed. First, the mathematical model of the demagnetization fault of PMSM in a synchronous rotating coordinate system is established, and the inductance disturbance is analyzed separately. Then, considering the different characteristics of the flux linkage fault and inductance disturbance, a new adaptive observer is proposed. Two adaptive laws are designed to ensure the accuracy of fault diagnosis and to eliminate the influence of inductance disturbance, thus achieving the robust diagnosis of demagnetization fault.