Full Predictive Control of Permanent Magnet Synchronous Machine Based on Differential-Free Disturbance Position-Torque Observer and Online Parameter Identification

This paper proposes a novel fully predictive control (FPC) for permanent magnet synchronous machine (PMSM), which adopts the techniques of online parameter identification and position sensorless. The FPC comprises a speed outer loop and a current inner loop. Online parameter identification with recursive least squares (RLS-OPI) is used to get PMSM’s resistance, magnetic linkage and inductance. Position sensorless with a derivative-free disturbance observer (DFDO) is used to obtain the speed and torque. The simulation and experimental results show that the proposed control algorithm has a faster response and better dynamic performance in different temperatures.