Fix-frequency robust power model predictive control method for three-phase PWM rectifiers under unbalanced grid conditions

2020 ◽  
Vol 20 (5) ◽  
pp. 1283-1294
Author(s):  
Xin Guo ◽  
Min Xiao ◽  
Yu-er Gao ◽  
Qingyu Wang ◽  
Yihao Wan
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Method ◽  
Power Model ◽  
Three Phase ◽  
Pwm Rectifiers ◽  
Unbalanced Grid

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.

Current predictive control of three-phase voltage source PWM rectifiers under unbalanced grid voltage conditions

2016 ◽  
Vol 39 (7) ◽  
pp. 976-986
Author(s):  
Meng Wang ◽  
Yanyan Shi ◽  
Zhen Qi ◽  
Minghui Shen
Keyword(s):  
Predictive Control ◽  
Control Strategy ◽  
Voltage Source ◽  
Phase Voltage ◽  
Two Phase ◽  
Grid Voltage ◽  
Three Phase ◽  
Pwm Rectifiers ◽  
Current Error ◽  
Unbalanced Grid

To improve the performance of three-phase voltage source pulse-width modulated (PWM) rectifiers (VSR) under unbalanced grid voltage conditions, a fixed-frequency current predictive control (CPC) strategy is presented. Instantaneous power of the three-phase VSR is analysed in a two-phase stationary frame. The calculation method for the reference current is improved to achieve the power stability at the AC side of the rectifier. Based on the current predictive model, the optimal duration of the voltage vectors is computed under the restricted condition of minimizing current error at α- and β-axes in fixed intervals. The control system is free of synchronous rotation coordinate transformation, and avoids positive and negative sequence decomposition, which simplifies the calculation. The simulation and experimental results show that the proposed control strategy is able to eliminate the AC current distortion effectively and depress DC link voltage fluctuation under unbalanced grid voltage. Furthermore, the control strategy has faster dynamic response ability, enhancing the control performance of the three-phase VSR system.

scholarly journals Finite Control Set Model Predictive Control for an LCL-Filtered Grid-Tied Inverter with Full Status Estimations under Unbalanced Grid Voltage

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2691 ◽  
Author(s):  
Xiaotao Chen ◽  
Weimin Wu ◽  
Ning Gao ◽  
Jiahao Liu ◽  
Henry Shu-Hung Chung ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Reactive Power ◽  
Grid Voltage ◽  
Luenberger Observer ◽  
Reference Generator ◽  
Three Phase ◽  
Finite Control ◽  
Control Set ◽  
Unbalanced Grid

This paper proposes a novel finite control set model predictive control (FCS-MPC) strategy with merely grid-injected current sensors for an inductance-capacitance-inductance (LCL)-filtered grid-tied inverter, which can obtain a sinusoidal grid-injected current whether three-phase grid voltages are balanced or not. Compared with the conventional FCS-MPC method, four compositions are added in the proposed FCS-MPC algorithm, where the grid voltage observer (GVO) and Luenberger observer are combined together to achieve full status estimations (including grid voltage, capacitor voltage, inverter-side current, and grid-injected current), while the sequence extractor and the reference generator are applied to eliminate the double frequency ripples of the active or reactive power, or the negative sequence component (NSC) of the grid-injected current caused by the unbalanced grid voltage. Simulation model and experimental platform are established to verify the effectiveness of the proposed FCS-MPC strategy, with full status estimations under both balanced and unbalanced grid voltage conditions.

scholarly journals A Novel Adaptive Model Predictive Control Based Three-Phase Inverter Current Control Method

2019 ◽  
Vol 9 (24) ◽  
pp. 5413 ◽  
Author(s):  
Mingyu Lei ◽  
Ying Zhang ◽  
Lexuan Meng ◽  
Yibo Wang ◽  
Zilong Yang ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Method ◽  
Dynamic Performance ◽  
Current Control ◽  
Three Phase ◽  
Modification Method ◽  
Adaptive Model Predictive Control ◽  
Three Phase Inverter ◽  
Control Accuracy

This paper proposes a novel current control method based on Model Predictive Control (MPC) for three-phase inverters. The proposed method is based on an Adaptive MPC (A-MPC) with a PWM modulation. An innovative model parameter estimation and modification method is also proposed, leading to enhanced control accuracy. Comparing with traditional current control methods, such as PI and PR control, the proposed method has better dynamic performance. The transient dynamics, i.e., recovery time and overshoot, have been considerably improved. Simulation and experimental results are presented to validate the effectiveness of the proposal.

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