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Model Prediction Torque Control for Permanent Magnet Synchronous Motor Based on the Fast Selection Table |
Lan Zhiyong, Luo Jie, Li Yanhao, Li Chao, Li Fu |
School of Automation and Electronic Information Xiangtan University Xiangtan 411105 China |
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Abstract An output voltage vector with adjustable amplitude has been synthesized with the selected voltage vector of effectiveness and a zero by calculating the duty cycle in the two-vector model prediction torque control, effectively reducing the actual and design value error. Due to the limited selection range, there are still some defects. Thus, some three-vector improvement measures have been proposed with different selection methods. Based on the new two-vector model prediction torque control, a torque control strategy for three-vector model prediction is proposed based on the fast selection table. A synthetic voltage vector with adjustable amplitude and range is obtained by increasing the effective voltage vector, and a fast selection table is proposed to reduce the computation of the effective voltage vector selection. Firstly, by analyzing the influence of the voltage vectors on the slope of torque and stator flux, it can be known that the zero-voltage vector mainly affects the torque ripples, and the influence on the stator flux is almost negligible. Therefore, the slope of stator flux under zero voltage vector can be neglected in the operation time allocation. Secondly, the fast selection table is constructed according to the effect of the effective voltage vector on torque and stator flux. Thus, the prediction times can be greatly reduced while selecting the effective voltage vector. Then, the sector judgment is made according to the position of stator flux at the current time, and the effective voltage vector is selected quickly according to the error of actual and designed torque values and the value of sectors in the fast selection table. Finally, the operating time of voltage vectors is calculated by the principle of deadbeat control. The simulation test mainly verifies the transient experiment. Firstly, the motor speed is set at 1 500 r/min and started in a no-load state. Then, when the motor runs stably to 1 500 r/min, the simulation test condition of load torque is suddenly added to 3 N·m at 0.1 s. Simulation waveform shows that this strategy can effectively reduce flux fluctuation and torque ripples on the virtual platform and reduce the current harmonics from 13.27% to 6.77%. In order to further verify the feasibility of the algorithm, a relevant experimental platform is built, which is mainly divided into two parts: steady-state experiment and transient experiment verification. The steady-state experiment mainly verifies the motor operation condition under low speed without load and high speed with load. The torque ripples and flux fluctuation can be effectively improved to a certain extent under both conditions, and the current harmonics under high speed with load are reduced from 32.37% to 25.68%. The transient experiment is to add load to the motor under stable operation suddenly. Both experiments show that the control strategy in this paper can reduce current harmonics, and the steady-state performance is better than before. In addition, when the torque changes, although the speed will be affected to some extent, the results will be less affected, and the dynamic response can be maintained quickly.
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Received: 31 August 2022
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