Model Predictive Optimization Control Strategy for Three-level AFE Converter
Abstract: In view of the fact
of traditional MPC prediction for three-level AFE converter with numerous
switching vectors, time-cost computation and complex control, a simplified
model predictive control algorithm is proposed in this paper. The multiple
current prediction is transformed into a single virtual reference voltage
vector prediction according to the inverse procedure of the model current
prediction, and vector distribution method is adopted which can screens out the
optimal vector. In the process of rolling optimization, multi-objective control
is carried out by adding neutral point potential balance and reducing switching
losses and other constraints to the cost function. Also the control delay of
the algorithm is compensated. Finally, simulation experiments of three-level
AFE converter under steady-state and dynamic conditions are provided. The
results have verified correctness and practicability of the strategy.
Keywords: Three-level AFE
converter, Model predictive control, Virtual reference voltage, Vector sector
Author: Xiaoyan Shi, Longji
Zhu, Shuijuan Yu
Journal Code: jptkomputergg160229
