Sensorless speed control of a permanent magnet synchronous motor using an unscented Kalman filter with compensated covariances
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This study investigates the unscented Kalman filter with compensated covariances for the sensorless speed control of a permanent magnet synchronous motor. The unscented Kalman filter features a direct transformation process involving unscented transformation for removing the linearization process error that may occur in the extended Kalman filter. However, the Kalman filter should consider the covariance values for the system and measurement noises, and it is challenging to compute appropriate covariance values for the system and measurement noises in the design process. The covariance values are usually obtained from experience or by the trial-and-error method in the sensorless speed control of a permanent magnet synchronous motor. However, this process may be incorrect. This paper proposes an unscented Kalman filter with a fuzzy tuner for compensating covariance values in the sensorless speed control of a permanent magnet synchronous motor.
Abstract
This study investigates the unscented Kalman filter with compensated covariances for the sensorless speed control of a permanent magnet synchronous motor. The unscented Kalman filter features a direct transformation process involving unscented transformation for removing the linearization process error that may occur in the extended Kalman filter. However, the Kalman filter should consider the covariance values for the system and measurement noises, and it is challenging to compute appropriate covariance values for the system and measurement noises in the design process. The covariance values are usually obtained from experience or by the trial-and-error method in the sensorless speed control of a permanent magnet synchronous motor. However, this process may be incorrect. This paper proposes an unscented Kalman filter with a fuzzy tuner for compensating covariance values in the sensorless speed control of a permanent magnet synchronous motor.
참고문헌 (25)
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