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- 저자 : Tingna Shi (검색결과 2 건)
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Torque Ripple Minimization of PMSM Using Parameter Optimization Based Iterative Learning Control
Changliang Xia,Weitao Deng,Tingna Shi,Yan Yan 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.2
In this paper, a parameter optimization based iterative learning control strategy is presented for permanent magnet synchronous motor control. This paper analyzes the mechanism of iterative learning control suppressing PMSM torque ripple and discusses the impact of controller parameters on steady-state and dynamic performance of the system. Based on the analysis, an optimization problem is constructed, and the expression of the optimal controller parameter is obtained to adjust the controller parameter online. Experimental research is carried out on a 5.2kW PMSM. The results show that the parameter optimization based iterative learning control proposed in this paper achieves lower torque ripple during steady-state operation and short regulating time of dynamic response, thus satisfying the demands for both steady state and dynamic performance of the speed regulating system.
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Modeling and Analyzing for Magnetic Field of Segmented Surface-Mounted PM Motors with Skewed Poles
Wang Huimin,Guan Peijun,Liu Shu,Wu Shuang,Shi Tingna,Guo Liyan 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2
The skewed PM (permanent magnet) in the axial direction and the segmented PM in the circumferential direction, can reduce the cogging torque of the permanent magnet synchronous motor (PMSM). In this paper, the magnetization expression, which can be applied to diff erent circumferential sectioning modes, is derived. The quasi-3D magnetic fi eld analytical model suitable for diff erent circumferential and axial segmentation modes is proposed. The magnetic fi eld, cogging torque, back-EMF, and electromagnetic torque are obtained by the proposed modeling. The accuracy of the analytical method is verifi ed by 3D fi nite-element analysis. Finally, the modeling is used to analyze the variation of electromagnetic performance with diff erent radial skew angle and axial segments. The proposed modeling can shorten the calculation time, and analyze the variation law of motor performance with PM segmentation and skew comprehensively. It provides a reference for the design and optimization of segmented PMSM with skewed poles and has great signifi cance for improving motor performance.
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