Model Reference Adaptive Parameter Identification of PMSM Based on Single-Loop Model Predictive Control

In order to work out the problem of poor control performance and complex structure of the traditional double-loop vector control system of PMSM, a single-loop control system based on model prediction is proposed, which not only improves the control performance but also simplifies the system structure. Again using the model predictive control to design the controller depends on motor parameters. So model reference adaptive method is raised for online multi-parameter identification of PMSM. But the traditional adaptive law of model reference adaptive is easily affected by external disturbance, so the second order sliding mode is used to perfect the adaptive law to improve the robustness of parameter identification. Finally, the validity and practicable of the raised method are proved through simulation.