Model Predictive Control of Permanent-Magnet Synchronous Motor with Disturbance Observer

摘要

Model predictive control (MPC) is a high-performance permanent magnet synchronous motor (PMSM) control system capable of handling constrained multi-objective optimization, while providing excellent dynamic response capability. However, the traditional MPC scheme is sensitive to the system model. Thus the Luenberger state observer is designed to survey the stator current and disturbance based on continuous control set MPC, and is applied to compensate and improve the current controller. This method verifies its validity and correctness by MATLAB simulation.