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Optimized Model Predictive Control With Dead-Time Voltage Vector for PMSM Drives

机译:具有PMSM驱动器的死区电压矢量优化模型预测控制

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In order to improve the current steady-state control performance of the model predictive control (MPC), a dead-time voltage-vector based MPC method is proposed in this article. First, the effect of the dead-time on MPC is introduced, and the formation process of the dead-time voltage vector existed in MPC is analyzed. Furthermore, the beneficial dead-time voltage vector and nonbeneficial dead-time voltage vector for the current steady-state control performance of MPC is distinguished, and the advantage of the beneficial dead-time voltage vector is analyzed. Then, the MPC method based on dead-time voltage vector is presented, which optimizes the action time of dead-time. Finally, the experimental results prove that the current steady-state control performance of the proposed MPC method is better than the conventional MPC method without increasing the switching frequency.
机译:为了提高模型预测控制(MPC)的电流稳态控制性能,本文提出了一种基于死区电压 - 向量的MPC方法。首先,引入了死区时间对MPC的影响,分析了MPC中存在的死区时间电压矢量的形成过程。此外,区分用于电流稳态控制性能的有益的死区时间电压矢量和非义的死区时间电压矢量,分析有益的死区时间电压矢量的优点。然后,提出了基于死区时间电压矢量的MPC方法,其优化了死区时间的动作时间。最后,实验结果证明了所提出的MPC方法的电流稳态控制性能优于传统的MPC方法而不增加开关频率。

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