Multi-objective Optimization Control for Input-Series Output-Parallel Dual-Active-Bridge DC-DC Converter in EER Application
| Autor: | Xiaofeng Yang, Renbiao Nong, Zejie Li, Bingkai Zhou, Trillion Q. Zheng, Pavel Kobrle |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Model predictive control
Control theory Computer science 020208 electrical & electronic engineering 0202 electrical engineering electronic engineering information engineering Block diagram 02 engineering and technology Gradient descent Multi-objective optimization Power optimization Voltage Power (physics) Backflow |
| Zdroj: | 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia). |
| DOI: | 10.1109/ipemc-ecceasia48364.2020.9368169 |
| Popis: | For reducing backflow power and improving dynamic performance of the input-series output-parallel dual-active-bridge (ISOP-DAB) converter in the electric energy router application, a hybrid control strategy based on the extended-phase-shift (EPS) output voltage model predictive control and gradient descent algorithm (MPC-GDA) is proposed. Firstly, the backflow power models under single-phase-shift (SPS) and EPS control are established, and the output voltage state space averaging equation under EPS control is also derived. Then the output voltage model predictive control is obtained, and the gradient descent algorithm for backflow power optimization is proposed. Finally, the overall control block diagram of the ISOP-DAB based on MPC-GDA control is derived. The simulation models of ISOP-DAB under MPC-GDA and SPS control are built and compared. It is verified that the MPC-GDA control shows better dynamic response and backflow power optimization compared with the traditional SPS control. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|