Volume ,Issue
Fall
Research on Model Predictive Direct Power Control Strategy Optimization Based on Three Phase PWM Rectifiers
With the increasing demand for power quality and system efficiency, traditional control strategies have gradually become unable to meet complex application requirements. Traditional control strategies often rely on fixed control algorithms, which may lead to decreased or even unstable system performance under dynamic conditions such as load changes, uncertain system parameters, or external disturbances. Taking the model of a three-phase PWM rectifier as an example, by optimizing the switching sequence, the problems of uneven distribution of the grid side current spectrum and system computational complexity can be solved. Furthermore, the control strategy was validated through simulation experiments. By comparing the results of optimized and unoptimized control strategies, it was found that the development of this strategy can effectively optimize open sequences.
Zhu Y.F., Zhang Z.y., Li Y. etc. (2023). Model Prediction and Power Balance Control of Three-phase Five Level Rectifier [J]. Journal of Motor and Control,(10):120-130,140. [Baidu Scholar]
Xu P, Su X, Guo C., etc. (2023). Model Predictive Sliding Mode Control of Three-phase Voltage Type PWM Rectifier [J]. Journal of Electrical Engineering,(4):58-65. [Baidu Scholar]
Hu C.g., Y Z., Zhang Y., etc. (2024). Discrete Space Vector Model Free Predictive Current Control Strategy for Three-phase PWM Rectifier [J]. Journal of Motor and Control,(6):163-170. [Baidu Scholar]