Speed sensorless control of bearingless motor

The performance of surface permanent magnet bearingless snchronous motor(sPMBLM) system is usually affected by its parameter unknown or change with temperature and saturation.An online identification method for sPMBLM was presented based on current pridiction using the grey prediction method.The position and speed sensorless control system of sPMBLM based on system identification was proposed.The simulating and experimental results show that this method has such advantages as simple model,rapid convergence and small error.The system can achieve the stable suspension under the larger interference.