A Sensorless Robust Control Method for Permanent Magnet Synchronous Motor Drive

The conventional permanent magnet synchronous motor (PMSM) drive systems typically rely on phase current sensors for feedback control. In response to the issue of abnormal sampling current caused by current sensor failures, which affects system stability, a predictive control strategy based on Sliding Mode Observer (Sliding Mode Observer, SMO) without current sensors has been designed. This strategy uses the acquired stator voltage, rotor position, and speed information as inputs. Under conditions where current sensors are absent, it constructs a mathematical model for estimating speed and current based on the strong coupling nonlinear characteristics of the motor model. .At the same time, this paper designs real-time extraction of motor parameters instead of model parameters to improve the robustness of the system. The proposed sensorless method is low in complexity, enabling the PMSM drive system to operate reliably and stably, while achieving satisfactory dynamic performance and strong robustness. Simulation results demonstrate that the proposed method can operate stably without current sensors, validating its design and effectiveness.