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


Vol. 18, No. 1, pp. 103-115, Jan. 2018
10.6113/JPE.2018.18.1.103


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 Abstract

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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Cite this article

[IEEE Style]

Y. Zhou, H. Li and a. H. Zhang, "Model-free Deadbeat Predictive Current Control of a Surface-mounted Permanent Magnet Synchronous Motor Drive System," Journal of Power Electronics, vol. 18, no. 1, pp. 103-115, 2018. DOI: 10.6113/JPE.2018.18.1.103.

[ACM Style]

Yanan Zhou, Hongmei Li, and and Hengguo Zhang. 2018. Model-free Deadbeat Predictive Current Control of a Surface-mounted Permanent Magnet Synchronous Motor Drive System. Journal of Power Electronics, 18, 1, (2018), 103-115. DOI: 10.6113/JPE.2018.18.1.103.