In this paper, an improved deadbeat predictive current control (DPCC) method with parameters identification for surface-mounted permanent magnet synchronous machines (SPMSMs) is proposed. With the proposed DPCC method, zero steady-state current error and deadbeat dynamic current response could be achieved, even with inaccurate initial motor parameters. On basis of the conventional DPCC method, a novel parameters identification for the stator resistance and inductance is developed, which is the main contribution of this paper. The proposed parameters identification method works based on a reconstructed characteristic vector from the disturbance observer with current injection. Compared with traditional recursive-least-square (RLS) methods, the proposed method can be implemented with greatly reduced computation burden. Additionally, since the design is established based on the fully-discretized model, the effectiveness will be guaranteed on both low-frequency and high-frequency motors, which is a significant advantage of the proposed method.

Original languageEnglish
JournalIEEE Transactions on Industrial Electronics
Publication statusAccepted/In press - 2020

    Research areas

  • disturbance observer, DPCC, parameters identification, SPMSM

ID: 68497496