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Reduced-Order Unscented Kalman Filter for Sensorless Control of Permanent-Magnet Synchronous Motor

  • Moon, Cheol (Dept. of Electrical and Computer Engineering, Pusan National University) ;
  • Kwon, Young Ahn (Dept. of Electrical and Computer Engineering, Pusan National University)
  • Received : 2016.02.07
  • Accepted : 2016.10.28
  • Published : 2017.03.01

Abstract

The unscented Kalman filter features a direct transforming process involving unscented transformation for removing the linearization process error that may occur in the extended Kalman filter. This paper proposes a reduced-order unscented Kalman filter for the sensorless control of a permanent magnet synchronous motor. The proposed method can reduce the computational load without degrading the accuracy compared to the conventional Kalman filters. Moreover, the proposed method can directly estimate the electrical rotor position and speed without a back-electromotive force. The proposed Kalman filter for the sensorless control of a permanent magnet synchronous motor is verified through the simulation and experimentation. The performance of the proposed method is evaluated over a wide range of operations, such as forward and reverse rotations in low and high speeds including the detuning parameters.

Keywords

Unscented Kalman filter;Reduced order model;Unscented transformation;Sensorless speed control;Permanent-magnet synchronous motor

References

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