Xiaoguang Zhang / North China University of Technology
Ruifang Chen / North China University of Technology
Xiang Yu / North China University of Technology
Jose Rodriguez / Universidad San Sebastian
The conventional permanent magnet synchronous motor (PMSM) drive systems typically rely on phase current sensors for feedback control. However, sensor failures, measurement errors, and rising costs can undermine the system's reliability and economy. To address these issues, this paper proposes a PMSM drive control method that eliminates the need for current sensors. This method uses sliding mode observer (SMO) to estimate the dq-axis currents, with the error between the estimated and measured speeds serving as a switch function to generate the sliding mode, thus stabilizing the current estimation without relying on current sensors. Based on this, 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.