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Multimode Model Predictive Control for PMSM Drive System
DOI:10.1109/TTE.2022.3172140.png)
摘要
En 中文
In order to improve the control performance of the motor model predictive control (MPC) system, a multimode hybrid-vector MPC strategy is proposed in this article, which is developed from the conventional double-vector MPC strategy. The proposed method extends the last voltage vector of the previous control period to the present control period according to the relationship between the last voltage vector of the previous control period and the first voltage vector of the present control period. Then, two voltage vectors or three voltage vectors are included in each control period, which forms the concept of the hybrid vector. Since a voltage vector is inherited from the previous control period, the proposed method can achieve better steady-state control performance at a lower switching frequency, considering the two adjacent control periods as a whole. Finally, comparative experiments demonstrate that the proposed method has better steady-state control performance at the same switching frequency.
Keyword:
Voltage control
Steady-state
Control systems
Inverters
Switching loss
Switching frequency
Predictive control
Hybrid vector model predictive control (MPC)
permanent magnet synchronize motor (PMSM) drive system
steady-state performance
switching frequency
期刊
I
IF:
8.3
论文数:
2.9K
被引数:
1.6W
机构
引用论文
Deadbeat Predictive Current Control of Permanent-Magnet Synchronous Motors with Stator Current and Disturbance Observer基于定子电流和扰动观测器的永磁同步电机无差拍预测电流控制
Double Vectors Model Predictive Torque Control Without Weighting Factor Based on Voltage Tracking Error基于电压跟踪误差的无加权因子双矢量模型预测转矩控制
Modulated Model-Free Predictive Control With Minimum Switching Losses for PMSM Drive System
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