Improved Deadbeat Predictive Current Control of PMSM Based on a Resistance Adaptive Position Observer

Deadbeat predictive current control (DPCC) features fast dynamic responses and excellent current tracking capabilities. However, it suffers from steady-state current prediction error caused by machine parameter mismatch, notably the resistances at low speeds. For the purpose of minimizing the parameter sensitivity of the DPCC approach and optimizing the performance of permanent magnet synchronous motor (PMSM) drive systems, an improved DPCC with a stator-resistance adaptive position observer (DPCC+RAPO) is proposed. Initially, the parameter sensitivity of the conventional DPCC approach is analyzed, which reveals that inaccurate resistance can lead to prediction current error and current jitter problems directly. Then, a real-time stator-resistance adaptation algorithm based on sensorless control is introduced in this article and applied to DPCC. It effectively enhanced the resilience to parameter perturbations of the DPCC method. In addition, compared with the conventional sensorless DPCC control, the presented methodology is capable of increasing the robustness of PMSM at low speeds. Finally, the effectiveness of the method is verified by experiments at a 1.5 kW PMSM drive platform.