| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 727.78 KB | Adobe PDF |
Orientador(es)
Resumo(s)
Photovoltaic (PV) systems are crucial for harnessing solar energy; however, environmental factors and the variability of the connected load significantly influence their energy generation capacity. In this context, the effectiveness of the controller used for maximum power point tracking (MPPT) to enhance efficiency relies on a thorough analysis of the nonlinear models of PV systems. Over these last decades, many control techniques have been developed to enhance the energy extraction from PV cells and improve system efficiency. Since real-world systems have real-time variations, it is difficult to continuously update both the system and the controller. The changes can produce steady state errors in the output and reduce the efficiency of the controller. As a solution to this issue, in this work a nonlinear backstepping sliding mode controller (BSMC) is proposed to improve the performance of the MPPT system. The BSMC MPPT, coupled to a DC-DC quadratic boost converter (QBC), is used as the interface between a PV array and a microgrid. Backstepping control ensures global asymptotic stability of the system by achieving the optimal power point, following Lyapunov stability criteria. Simulation and experimental results of the proposed MPPT solution are presented confirming that the system operates as expected.
Descrição
Palavras-chave
PV systems MPPT DC-DC quadratic boost converter Backstepping control
Contexto Educativo
Citação
Monteiro, J., Silva, J. F., Cordeiro, A., Pinto, S., & Pires, V. F. (2025). Backstepping sliding mode controller for MPPT in DC microgrid connected quadratic boost converters fed from PV systems. In 2025 13th International Conference on Smart Grid (icSmartGrid) (pp. 200–205). IEEE. https://doi.org/10.1109/icSmartGrid66138.2025.11132088
Editora
IEEE
Licença CC
Sem licença CC
