双三相永磁同步电机低共模电压模型预测电流控制

doi:10.19595/j.cnki.1000-6753.tces.221611

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Abstract Compared with three-phase motors, dual three-phase permanent magnet synchronous motors (DT-PMSM) have better fault tolerance, higher efficiency, and higher torque density. Therefore, it is widely used in high-reliability fields, such as electric vehicles, ships, and aerospace.
The model predictive control (MPC) method has the characteristics of fast dynamic response and simple structure, compared with field-oriented control and direct torque control methods. Therefore, it has been intensively studied in recent years. However, when the traditional MPC is applied to the DT-PMSM, larger harmonic currents and severe computational burden are the existing issues. In addition, the common-mode voltage generated by the driving system can shorten the life of the motor and produce electromagnetic interference.
Therefore, a model predictive current control method with low common-mode voltage is proposed. The proposed method consists of three steps. First, the voltage vectors with small common-mode voltage are analyzed. The virtual voltage vectors are synthesized as the input control set to suppress the common-mode voltage and reduce the harmonic current. Then, to avoid the ergodic prediction voltage vector, the position of the reference voltage vector is obtained by the deadbeat current control method to reduce the candidate voltage vector. Finally, the cost function of the unweighting factor is designed. The candidate voltage vectors are evaluated, and the optimal voltage vector is selected. It solves the issue that the weighting factor is difficult to design without theoretical basis.
An experiment is designed to compare the traditional model predictive current control method (MPCC-T), the traditional model predictive current control method with reduced common-mode voltage (RCMV-36) and the proposed MPCC-VVV-RCMV method. Firstly, the phase currents of the three methods are analyzed by the fast Fourier transform algorithm. The total harmonic current distortion rates of MPCC-T, RCMV-36, and the proposed method are 6.63 %, 7.48 %, and 3.68 %, respectively. The fifth harmonic distortion rates of the three methods are 5.71 %, 6.57 %, and 1.06 %, which proves that the proposed method provides higher-quality phase currents and reduces the harmonic current in the x-y plane. Secondly, the common-mode voltage under the three methods is tested. The negative peak value of the common-mode voltage under the MPCC-T method is (-1/2)U_dc, and the positive peak value is (1/6)U_dc. However, with RCMV-36 and the proposed method, the negative peak value of the common-mode voltage is (-1/6)U_dc, and the positive peak value is (1/6)U_dc. Which indicates that the proposed method can effectively reduce the common-mode voltage. In addition, considering that the motor parameters will change during operation, the influence of the non-ideal prediction model on the control performance is also studied. The results show that the output current waveform keeps well despite the change of resistance and inductance. Therefore, when the motor parameters change within a specific range, the proposed method is robust. Finally, the total execution time of the three methods in the controller is compared. The total execution time of MPCC-T, RCMV-36, and the proposed method in the controller is 33 μs, 95 μs, and 16 μs, respectively, which shows that the proposed method can reduce the computational burden on the controller.
The proposed method is compared with two existing traditional methods. The following conclusions are obtained: (1) The proposed MPCC-VVV-RCMV method can effectively reduce the common-mode voltage and the harmonic current. (2) The proposed MPCC-VVV-RCMV method eliminates the weight factors in the cost function, avoids the tedious adjustment task, and reduces the computational burden. (3) The shortcoming of the proposed MPCC-VVV-RCMV method is the high average switching frequency.

Key words： Model predictive current control dual three-phase permanent magnet synchronous motor common-mode voltage virtual voltage vector weighting factor

Received: 22 August 2022

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TM351

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	Sun QuanZeng
	Zhang ZhiFeng

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Sun QuanZeng,Zhang ZhiFeng. Low Common-Mode Voltage Model Predictive Current Control for Dual Three-Phase Permanent Magnet Synchronous Motor[J]. Transactions of China Electrotechnical Society, 2023, 38(14): 3708-3722.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.221611 OR https://dgjsxb.ces-transaction.com/EN/Y2023/V38/I14/3708

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