Journal
IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 34, Issue 11, Pages 11103-11115Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2019.2900559
Keywords
Cross-coupling; digital time-delay effect; inverter nonlinearity; magnetic saturation; offline parameter self-learning; permanent magnet synchronous machine (PMSM)
Categories
Funding
- Research Fund for the National Science Foundation of China [51877054, 51807037, 51690182]
- Power Electronics Science and Education Development Program of Delta Group [DREM2018001]
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Offline parameter identification of permanent magnet synchronous machines (PMSMs) is of great importance for general-purpose drives with sensorless control. This paper proposes an amplitude-auto-adjusting signal injection (ASI) method for the parameter self-learning of PMSMs at standstill considering inverter nonlinearities and the digital time-delay effect. The ASI method achieves the inductance identification process under various dq-axis currents and at the same time prevents the unexpected rotor rotation during the self-commissioning process. For the test PMSM, the spatial inductance maps of dq-axes and abc -phases concerning the magnetic saturation and cross-coupling effects are identified along with the stator resistance. To enhance the estimation accuracy, an error model of the inverter nonlinearities in dq-axes is established, and a compensation method independent of inverter parameters is proposed based on the Hermite interpolation. In addition, the influence of the digital time-delay effect is analyzed and compensated based on the transient model of the circuits. The effectiveness of the proposed parameter self-learning scheme is confirmed on a 2.2-kW PMSM drive. The accuracy of the experimental results is validated by finite element analysis on the test machine.
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