Sensorless Control of Permanent Magnet Synchronous Motor Based on Extended Kalman Filter

Extended Kalman Filter (EKF) was applied to permanent magnet synchronous motor (PMSM) position sensorless control in this paper, and this algorithm was simulated with Matlab/Simulink, and finally this algorithm was realized in the system with a TMS320F2812 controller. Both the simulation and experimental results proved the effectiveness of this algorithm, as well as higher speed,location identification accuracy, and better static and dynamic performance and anti-interference performance. This paper also takes some measures to improve the low-speed performance, which has a very important practical significance.