Sensor-less Vector Control of Surface PM Synchronous Motor Using Reduced -Order Cubature Kalman Filter Based Estimator

In this work design and simulation study of a reduced order Cubature Kalman Filter (CKF) observer for position and speed estimation of Surface PM Synchronous Motor is discussed. The application of CKF for sensor-less vector control of PM Synchronous motor is recently reported in literature. In the reported work a fourth order system is consider. In this work the system order is reduced to third order. This is done by using the decupling nature of the system in terms of stator currents. Here two similar type of third order system is designed based on the two stator currents. The CKF algorithm will switch between the two third order systems for consecutive current samples. As a result, at a time only one third order CKF algorithm is to be executed. This will effectively reduce the system to a third order system and computational requirement is also reduces considerable. As CKF is relatively complex algorithm, so order reduction is essential in view of real-time implementation possibility of CKF algorithm. Simulation steady of the proposed drive is carried out in MATLAB. Simulation results establish the fact that performance of the proposed reduced order CKF observer is comparable to full order CKF observer.