Sensorless direct torque control of surface permanent magnet synchronous motors with resilient extended Kalman filtering

The demand for sensorless control of surface permanent magnet synchronous motor (SPM) drives has grown tremendously over the past decade in a wide variety of industrial applications. Many different sensorless control methods have been proposed for SPM, especially the Matsui's current model-based method and the extended Kalman filter based methods have gained much attention. However, the performance of these sensorless control methods are severely worsened or may even become unstable under strong disturbances and sensing measurement failure conditions. This paper presents a novel resilient extended Kalman filter based sensorless direct torque and flux control approach of permanent magnet synchronous motor drives. The robustness against external disturbances and sensing failures can be improved by applying the proposed nonlinear estimation approach. Computer simulation studies and hardware implementation results have shown the superior performance of the proposed approach.