Simulation and Implementation of Extended Kalman Filter Observer for Sensorless PMSM

This article utilizes the Extended Kalman Filter algorithm as an observer for the entire motor control system to estimate the angle and speed of the motor rotor. This algorithm can achieve precise tracking of motor rotor position and speed, especially in low-speed or startup scenarios. It has good low-speed performance and can quickly achieve closed-loop control of the motor angle loop. Furthermore, the FOC vector control strategy was employed to achieve dual-loop control of the motor control system, thereby realizing control of the position-Sensorless permanent magnet synchronous motor. In this paper, we design and construct a simulation model for vector control of permanent magnet synchronous motor based on Extended Kalman filter algorithm, and design a hardware experimental platform to compare the experimental results with those of the Sliding Mode Observer-based control algorithm for verification.