Sensorless Speed Control of SPMSM Using Disturbance Rejection Predictive Functional Control

This work investigates the speed regulation issue for Permanent Magnet Synchronous Motors (PMSM), which is typically characterized by nonlinearity, uncertainty, and disturbances. A bridge between Porpotional Integral Derivative (PID) and complicated Model Predictive Control (MPC) is Predictive Function Control (PFC). Dead time and constraints are two things that PID control may struggle with, whereas PFC can overcome these challenges. PFC is a straightforward MPC that uses prediction and can be deployed using simple software and cheap hardware equipment. The PFC approach is incorporated into the control design of the speed loop to maximize the control performance of the PMSM. In this approach, a simplified model is used to predict the q-axis current of PMSM for the future step. Then, a quadratic performance cost index is minimized to produce an ideal control law. It should be noted that in the presence of significant disturbances, the conventional PFC approach does not yield satisfactory results. The load and other disorders are restrained by producing compensation current via feedforward compensation in real-time. The discrete Lyapunov function and Popov super stability theory confirm the stability of the suggested approach.