Novel intelligent sensorless control of permanent magnet synchronous motor drive

After analyzing the basic principle of sensorless control using extended Kalman filter (EKF) in permanent magnet synchronous motor (PMSM) drive, this paper proposes a novel intelligent sensorless control. Here, fuzzy control is used in EKF and artificial neural network (ANN) is used in speed control, since an artificial neural network based speed controller does not rely on the accurate mathematical model of system, and it has not only fast dynamic response but also high steady-state accuracy, while fuzzy EKF algorithm can adjust covariance matrices online and be efficiently-accelerated convergence. A PMSM drive simulation model with novel intelligent sensorless control is created and studied using Matlab/Simulink. The simulation results demonstrate the feasibility and validity of novel intelligent sensorless control.