基于PID型代价函数的永磁同步电机模型预测电流控制

doi:10.19595/j.cnki.1000-6753.tces.200443

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Abstract The performance of the finite-control-set model predictive control (FCS-MPC) depends on the accuracy of model parameters. Therefore, this paper proposed a PID-type cost function for the FCS-MPC in the current control of the permanent magnet synchronous motors, including the integral cost term to eliminate the steady-state current error and the differential cost term to reduce the root-mean-square current error. In the concept of the PID-type cost function, the traditional reference-tracking cost can be categorized as a proportional cost. Experimental results show that the FCS-MPC current control with the PID-type cost function can reduce the steady-state current error to zero and suppress the current ripple in a wide parameter range. Therefore, the parameter independency of the FCS-MPC can be improved while retaining the advantage of fast dynamic response of the FCS-MPC.

Key words： Finite-control-set model predictive control (FCS-MPC) cost function permanent magnet synchronous motor (PMSM) current control

Received: 30 April 2020

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TM351

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	Chen Zhuoyi
	Qu Wentai

Cite this article:

Chen Zhuoyi,Qu Wentai. Model Predictive Current Control for Permanent Magnet Synchronous Motors Based on PID-Type Cost Function[J]. Transactions of China Electrotechnical Society, 2021, 36(14): 2971-2978.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200443 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I14/2971

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