Journal
IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 38, Issue 5, Pages 5706-5710Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2023.3245052
Keywords
Couplings; Demagnetization; Permanent magnet motors; Resistance; Fault diagnosis; Induction motors; Inductance; Demagnetization fault diagnosis; disturbance; interior permanent magnet (IPM) motor; parameter mismatch; sliding mode (SM) observer
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This paper proposes a novel sliding mode disturbance observer-based technique to diagnose demagnetization fault of interior permanent magnet motors with stator parameter mismatch impacts eliminated. Firstly, the IPM motor model considering disturbances caused by PM demagnetization and stator parameter mismatch is established. Then, an SM disturbance observer is constructed to identify the overall disturbance caused by all parameters, with stability discussed using the Lyapunov function. Finally, a current-analysis-based method is developed to extract the disturbance caused by flux linkage mismatch and calculate the real flux linkage for demagnetization fault judgment and degree calculation.
This letter proposes a novel sliding mode (SM) disturbance observer-based technique to diagnose demagnetization fault of interior permanent magnet (IPM) motors with stator parameter mismatch impacts eliminated. First, the IPM motor model incorporating the disturbances caused by the PM demagnetization and stator parameter mismatch is established. Then, an SM disturbance observer is constructed to identify the overall disturbance caused by all parameters, with its stability discussed by using the Lyapunov function. Third, a current-analysis-based method is developed to extract the disturbance only caused by flux linkage mismatch from the overall disturbance. Third, the extracted disturbance is adopted to calculate the real flux linkage, achieving demagnetization fault judgment and demagnetization degree calculation. Finally, experiment is conducted on two IPM motors to validate the proposed flux linkage estimation and fault diagnosis methods.
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