Lyapunov-Induced Model Predictive Power Control for Grid-Tie Three-Level Neutral-Point-Clamped Inverter With Dead-Time Compensation
| Autor: | Van-Quang-Binh Ngo, Van-Hiep Vu, Viet-Tuan Pham, Huu-Nhan Nguyen, Pedro Rodriguez-Ayerbe, Sorin Olaru, Hoang-Thinh Do |
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| Přispěvatelé: | Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2019 |
| Předmět: |
Lyapunov function
General Computer Science Computer science Finite control set model predictive control 020209 energy Control variable 02 engineering and technology [SPI.AUTO]Engineering Sciences [physics]/Automatic symbols.namesake Control theory Control Lyapunov function 0202 electrical engineering electronic engineering information engineering General Materials Science Stability conditions Control-Lyapunov function 020208 electrical & electronic engineering General Engineering Computational burden Grid Power (physics) Model predictive control symbols Three-level Neutral-Point-Clamped inverter Inverter Dead-time compensation lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 Power control |
| Zdroj: | IEEE Access IEEE Access, IEEE, 2019, 7, pp.166869-166882. ⟨10.1109/ACCESS.2019.2953784⟩ IEEE Access, Vol 7, Pp 166869-166882 (2019) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2019.2953784 |
| Popis: | International audience; In this paper, a new power control strategy based on a model predictive power control for the grid-tie three-level neutral point clamped inverter is presented. A dynamical model based on the orientation of grid voltage is used to predict the performance of control variables required for the system. A cost function that includes the tracking power ability, the neutral-point voltage balancing and switching frequency reduction is used to achieve the optimal switching state. A proposed selection scheme of control input is introduced to comprehend the stability of the closed-loop system and reduce the computational cost. At each sampling time, only candidate switching state inputs that guarantee the stability condition through a control Lyapunov function is evaluated in the cost function of the MPC algorithm. Thus, the execution time is remarkably decreased by 26% in comparison with traditional model predictive control. Moreover, the dead-time effect is compensated by incorporating its influence in the proposed prediction model. Simulation and experimental results compared with the traditional model predictive control are used to confirm the effectiveness of the proposed scheme. |
| Databáze: | OpenAIRE |
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