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      저자 : Hengguo Zhang (검색결과 3 건)
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        Model-free Deadbeat Predictive Current Control of a Surface-mounted Permanent Magnet Synchronous Motor Drive System

        Zhou, Yanan,Li, Hongmei,Zhang, Hengguo The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.1

        Parametric uncertainties and inverter nonlinearity exist in the permanent magnet synchronous motor (PMSM) drive system of electrical vehicles, which may lead to performance degradation or failure, and eventually threaten reliable operation. Therefore, a model-free deadbeat predictive current controller (MFDPCC) for PMSM drive systems is proposed in this study. The data-driven ultra-local model of a surface-mounted PMSM (SMPMSM) drive system that consists of parametric uncertainties and inverter nonlinearity is first established through the input and output data of a SMPMSM drive system. Subsequently, MFDPCC is designed. The performance comparisons and analyses of the proposed MFDPCC, the conventional proportional-integral controller, and the model-based deadbeat predictive current controller for SMPMSM drive systems are implemented via system simulation and experimental tests. Results show the effectiveness and technical advantages of the proposed MFDPCC.

      • KCI등재

        Model Free Deadbeat Predictive Speed Control of Surface-Mounted Permanent Magnet Synchronous Motor Drive system

        Yanan Zhou,Hongmei Li,Hengguo Zhang,Jingkui Mao,Jiandong Huang 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.1

        In the predictive controlled surface-mounted permanent magnet synchronous motor (SMPMSM) drive system, parametric uncertainties and external disturbances lead to model mismatch and eventually causing the performance degradation. Consequently, this paper proposed a model free deadbeat predictive speed controller (MFDPSC) based on the ultra-local model and deadbeat predictive control. The ultra-local model is established through the input and output variable of the speed loop within parametric uncertainties and external disturbances, then it is used as the predictive model for the design of MFDPSC. The proposed method avoids the requirement of the knowledge of the SMPMSM drive system, and therefore ensures the system robustness. At last, the simulation and experiment are implemented to verify the speed tracking performance of the proposed method, and the results show that the proposed method is robust to parametric uncertainties and external disturbances.

      • KCI등재

        Model-free Deadbeat Predictive Current Control of a Surface-mounted Permanent Magnet Synchronous Motor Drive System

        Yanan Zhou,Hongmei Li,Hengguo Zhang 전력전자학회 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.1

        Parametric uncertainties and inverter nonlinearity exist in the permanent magnet synchronous motor (PMSM) drive system of electrical vehicles, which may lead to performance degradation or failure, and eventually threaten reliable operation. Therefore, a model-free deadbeat predictive current controller (MFDPCC) for PMSM drive systems is proposed in this study. The data-driven ultra-local model of a surface-mounted PMSM (SMPMSM) drive system that consists of parametric uncertainties and inverter nonlinearity is first established through the input and output data of a SMPMSM drive system. Subsequently, MFDPCC is designed. The performance comparisons and analyses of the proposed MFDPCC, the conventional proportional–integral controller, and the model-based deadbeat predictive current controller for SMPMSM drive systems are implemented via system simulation and experimental tests. Results show the effectiveness and technical advantages of the proposed MFDPCC.

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