SPEED SENSORLESS CONTROL FOR PMSM DRIVES USING EXTENDED KALMAN FILTER
Keywords:Permanent Magnet Synchronous Motor (PMSM), Extended Kalman Filter (EKF), Sensorless Drive, Noise reduction
AbstractIn this paper, the drive system of Sensorless Permanent Magnet Synchronous Motor (PMSM) using Extended Kalman Filter (EKF) is presented. The previous PMSM drive uses a mechanical sensor in order to measure the motor speed and feed it back to the controller, so that the demanded speed can be achieved. Then the idea to replace the sensor by using sensorless drives based on the observer is widely used. By using a normal observer, it is only good for the low current operation, low-speed application and moreover, the observer is hard to detect the phase voltage due to the non-existence of neutral wire. The conventional observer is also quite complex and needs a higher cost for the electronics parts. Therefore, this current study proposes sensorless control using an Extended Kalman Filter (EKF). By using this method, it provides an optional estimation algorithm for the non-linear system that can produce a fast and accurate estimation of state variables. The accurate estimation will reduce the noise and ripple of the system. Additionally, the EKF do not require the information of mechanical parameters and the initial position of the rotor, makes the construction is easy and simple. In this paper, the fundamental of EKF algorithm is explained and the simulation results for different speeds and loads are presented. The noise reduction test is also being conducted in order to measure the flux current with and without the filter.
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