• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제55권11호
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• pp.577-581
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• 2006

This paper deals with an automatic rotor design functional standard computation based on torque/volume for a synchronous reluctance motor(SynRM). The focus of this paper is the design relative to the torque/volume on the basis of each rated watt according to the rotor diameters of a SynRM. The coupled finite elements analysis (FEA) & sequential unconstrained minimization technique (SUMT) have been used to evaluate design solutions. The proposed procedure allows to define the rotor geometric design function according to the rotor diameter and rated watt starting from an existing motor or a preliminary design.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 B
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• pp.709-710
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• 2006

This paper deals with an automatic rotor design functional standard computation based on torque/volume for a synchronous reluctance motor (SynRM). The focus of this paper is the design relative to the torque/volume on the basis of each rated watt according to the rotor diameters of a SynRM. The coupled finite elements analysis (FEA) & sequential unconstrained minimization technique (SUMT) have been used to evaluate design solutions. The proposed procedure allows to define the rotor geometric design function according to the rotor diameter and rated watt starting from an existing motor or a preliminary design.

• Journal of Power Electronics
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• 제15권6호
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• pp.1547-1558
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• 2015

A predictive functional control (PFC) scheme for permanent magnet synchronous motor (PMSM) servo systems is proposed in this paper. The PFC-based method is first introduced in the control design of speed loop. Since the accuracy of the PFC model is influenced by external disturbances and speed detection quantization errors of the low distinguishability optical encoder in servo systems, it is noted that the standard PFC method does not achieve satisfactory results in the presence of strong disturbances. This paper adopted the Kalman filter to observe the load torque, the rotor position and the rotor angular velocity under the condition of a limited precision encoder. The observations are then fed back into PFC model to rebuild it when considering the influence of perturbation. Therefore, an improved PFC method, called the PFC+Kalman filter method, is presented, and a high performance PMSM servo system was achieved. The validity of the proposed controller was tested via experiments. Excellent results were obtained with respect to the speed trajectory tracking, stability, and disturbance rejection.