scholarly journals Capacitor Balancing and Common-Mode Voltage Reduction of a SiC Based Dual T-Type Drive System Using Model Predictive Control

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 41066-41077
Author(s):  
Aboubakr Salem ◽  
Mohamed Mamdouh ◽  
Mohamed A. Abido
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Drive System ◽  
Common Mode ◽  
Common Mode Voltage

scholarly journals Modified multistep model predictive control for three-phase induction motor drive system considering the common-mode voltage minimization

2021 ◽  
Vol 12 (4) ◽  
pp. 2251
Author(s):  
Bao Binh Pho ◽  
Nguyen Van Cao ◽  
Tran Minh Hoan ◽  
Phuong Vu
Keyword(s):  
Model Predictive Control ◽  
Induction Motor ◽  
Predictive Control ◽  
Control Method ◽  
Drive System ◽  
Control Input ◽  
Common Mode ◽  
Common Mode Voltage ◽  
The Common ◽  
Multistep Model

It is acknowledged that the common-mode voltage may have detrimental effects on an induction motor (IM) drive system if not properly addressed. Therefore, in this paper, a modified multistep model predictive control method for IM drive system considering the common-mode voltage minimization is proposed. This research uses a multi-objective cost function, before applying the Sphere Decoding Algorithm to find the optimal control input. The results show that the proposed control method not only reduces the common-mode voltage significantly but also mitigates the computational burden of the microprocessor without affecting the system performance. The proposed control method is simulated by MATLAB-Simulink for an IM drive system with an 11-level cascaded H-bridge inverter.

Model predictive control method with common-mode voltage suppression for dual three-phase permanent magnet synchronous motor

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1453-1460
Author(s):  
Zhifeng Zhang ◽  
Yue Wu ◽  
Sicong Ye
Keyword(s):  
Computational Complexity ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Common Mode ◽  
Current Harmonics ◽  
Common Mode Voltage ◽  
Three Phase

Recently, the interest in model predictive control (MPC) and dual three-phase drives has been growing rapidly. Due to the high redundancy of voltage vector in the system composed of dual three-phase permanent magnetic synchronous motor (PMSM) and six-phase inverter, the computational complexity and current harmonics of MPC are high. In addition, the zero vector has been used by traditional MPC, which will cause higher common-mode voltage. In this paper, a novel MPC method with twice predictions and synthetic vectors is proposed which can not only suppress common-mode voltage, but also reduce computational complexity and current harmonics. The mathematical model of a dual three-phase PMSM are verified by the experimental results under the common-mode voltage suppression.

scholarly journals Model Predictive Control Method with Constant Switching Frequency to Reduce Common-Mode Voltage for PMSM Drives

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Hao Li ◽  
Shuo Chen ◽  
Xiang Wu ◽  
Guojun Tan
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Method ◽  
Control Period ◽  
Duty Ratio ◽  
Switching Frequency ◽  
Common Mode ◽  
Common Mode Voltage ◽  
Control Frequency ◽  
Finite Control

A model predictive control method to reduce the common-mode voltage (MPC-RCMV) with constant switching frequency for PMSM drives is proposed in this paper. Four nonzero VVs are adopted in future control period and the switching sequence is designed to ensure the switching frequency is fixed and equal to the control frequency. By substituting the finite-control nonzero voltage vectors in the current predictive model, a current predictive error space vector diagram is obtained to determine the adopted four VVs. The duty ratio calculating method for the selected four VVs is studied. Compared with the conventional MPC-RCMV method, the current and torque ripples are greatly reduced and the switching frequency is fixed. The simulation and experiment results validate the effectiveness of the proposed method.

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