五桥臂逆变器双永磁电机三矢量预测控制

doi:10.19595/j.cnki.1000-6753.tces.200348

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Abstract In the dual permanent magnet synchronous motors system fed by the five-leg inverter, only one voltage vector with fixed amplitude and direction is applied on each motor in a control cycle in the traditional predictive control strategy. The vector regulation range is limited and the motor currents fluctuate greatly. To reduce the motor current fluctuation in the dual-motor system, a three-vector-based predictive control strategy was adopted. In this method, two effective voltage vectors and one zero voltage vector were applied in each control period. Firstly, the two effective vectors were grouped according to their switch states. And then the optimal vector set of each group was selected by the cost function of each motor. Finally, the selected vector sets of different groups were compared, and the optimal vector set of the system was further selected from them. Based the optimal vector set, the five-leg voltage vector was synthesized and applied on the dual motors system. After grouping vectors, the strategy only needs to calculate the value of cost function 30 times per control cycle, which effectively reduces the number of calculations of multi-vector predictive control. Compared with the traditional predictive control strategy, the experimental results show that the strategy can effectively reduce the current fluctuations while maintaining the advantages of fast dynamic response, and has a certain resistance to parameter disturbance, which improves the steady-state performance of the system.

Key words： Permanent magnet synchronous motor three-vector predictive control five-leg inverter

Received: 09 April 2020

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TM351

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	Geng Qiang
	Wang Liang
	Zhou Zhanqing
	Li Xinmin
	Wang Zhiqiang

Cite this article:

Geng Qiang,Wang Liang,Zhou Zhanqing等. Three-Vector-Based Predictive Control for Dual Permanent Magnet Synchronous Motors Fed by the Five-Leg Inverter[J]. Transactions of China Electrotechnical Society, 2021, 36(1): 87-95.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200348 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I1/87

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