The invention discloses a
permanent magnet motor rotor permanent
magnet fault prediction and health management method based on all-parameter
estimation, and provides a permanent
magnet fault prediction and health management method based on all-parameter
estimation for an irreversible demagnetization phenomenon of a
permanent magnet motor under an extreme working condition.
Technical support is provided for safety and reliability of a
permanent magnet motor driving
system. In the proposed scheme, a
sinusoidal current signal is injected into a straight axis to obtain multiple groups of operation states of the motor, so that a parameter
estimation equation reaches a full-rank condition. Furthermore, an
inductance monitor is designed based on a dynamic
forgetting factor recursive least square method so as to obtain accurate rectangular axis
inductance parameters on line. Secondly, acquiring resistance and permanent
magnet flux linkage data of the permanent magnet motor in real time by adopting double H-infinity filters, and transmitting estimation data between the two algorithms to eliminate permanent magnet
flux linkage estimation deviation caused by parameter mismatch; and finally, based on the finally obtained permanent magnet
flux linkage parameters, accurate evaluation and demagnetization fault diagnosis of the residual
magnetism level of the rotor permanent magnet are expected to be realized.