Abstract
Model predictive control(MPC) is a widely studied control strategy in the field of power electronics. MPC does not need a modulation stage and has the characteristics of fast dynamic response, flexible multi-objective control, simplicity and ease in implementation. However, this control method is computation extensive due to the iterative optimization calculation process, raising demand for high-performance processors and making it hard for practical applications. Based on the idea of direct torque control, a double vector based direct voltage predictive control(2VB-DVPC) strategy is proposed. The proposed control method utilizes a predefined look-up table to select switch states, thus avoiding the tedious calculation process and reducing the computation burden. The comparative simulation models of traditional MPC and 2VB-DVPC are built in Matlab/Simulink for verification. The simulation results verify that the proposed 2VB-DVPC control strategy can effectively reduce the amount of calculation of the algorithm while ensuring dynamic and steady-state performance. The average switching frequency is fixed and the complexity of harmonics filter design is reduced.
| Translated title of the contribution | Double Vector Based Direct Voltage Predictive Control Based on Direct Torque Control |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 92-99 |
| Number of pages | 8 |
| Journal | Journal of Electrical Engineering (China) |
| Volume | 19 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jun 2024 |
| Externally published | Yes |
ASJC Scopus subject areas
- Electrical and Electronic Engineering