Abstract
Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.
| Original language | English |
|---|---|
| Article number | 9149930 |
| Pages (from-to) | 1188-1198 |
| Number of pages | 11 |
| Journal | IEEE Transactions on Transportation Electrification |
| Volume | 6 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 2020 |
| Externally published | Yes |
Keywords
- Finite control set model-predictive control (FCS-MPC)
- modulated model-predictive control (M2PC)
- optimal switching time-M2PC (OST-M2PC)
- permanent magnet synchronous motor (PMSM)