五相永磁同步电机串级模型预测电流控制

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Abstract In the model predictive control for five-phase permanent magnet synchronous motor (PMSM), it is difficult to ensure the optimal control performance by using calculation method to obtain the weighting factor. To solve this problem, a model predictive current control based on series cost function is proposed for five-phase PMSM. Firstly, the principle of selecting the optimal voltage vector by the proposed method is analyzed in detail. Then, combined with the characteristics of five-phase PMSM, the control priority of controlled variables is set for designing two cost function schemes without weight factor. The maximum torque scheme can generate a trapezoidal stator voltage, improving the DC bus voltage utilization rate and the system loading capacity. The minimum harmonic current scheme can reduce the harmonic of stator current, obtaining small system noise and vibration. The experimental results indicate that the proposed method can ensure the optimality of the voltage vector applied. Therefore, the five-phase PMSM obtains good performance under different working operation, such as small torque ripple, fast dynamic response and small harmonic current.

Key words： five-phase permanent magnet synchronous machines model predictive current control weighting factor voltage vector

Received: 17 May 2023

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	Articles by authors
	XIAO Haifeng
	XU Yuhao
	LI Wenzhen
	NING Dalong
	MA Zhao

Cite this article:

XIAO Haifeng,XU Yuhao,LI Wenzhen等. Model predictive current control based on series cost function for five-phase permanent magnet synchronous machines[J]. Electrical Engineering, 2023, 24(8): 1-11.

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http://dqjs.cesmedia.cn/EN/Y2023/V24/I8/1

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