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Multimode Model Predictive Control for PMSM Drive System

delete2023-03-01
delete6
PRE
AI
X
Xiaoguang Zhang *
C
Chenguang Zhang
C
Chi Xu
DOI:10.1109/TTE.2022.3172140delete
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Abstract

Abstract

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.
Keywords:
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

Journal

I
IEEE Transactions on Transportation Electrification
IF:
8.3
Papers:
2.9K
Citations:
1.6W

Organization

N
North China University of Technology
Scholars:
2.0K
Papers: 1.6K
Citations: 962
Cited Papers

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