A Photovoltaic Sourced Buck-Boost Converter Design with a Robust Sliding Mode Control
ACTA POLYTECHNICA HUNGARICA, cilt.23, sa.5, ss.141-164, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 23 Sayı: 5
- Basım Tarihi: 2026
- Dergi Adı: ACTA POLYTECHNICA HUNGARICA
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.141-164
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
A sliding mode controller (SMC) fora photovoltaic (PV)-powered DC to DC buck-boost converter to supply a constant load voltage is investigated in this paper. The indirect method is used to adjust the PV source to its maximum power point by the converter and SMC. This study presents SMC without using system dynamics, models, and transfer functions as an effective and easily adjusted controller. The PV source and battery loads behave differently from linear sources and require a robust controller to accommodate various loads and PV conditions. Compared with classical PI/PID and non-sliding nonlinear controllers, SMC provides better disturbance rejection, finite-time convergence, and independence from exact model parameters. These advantages are essential for PV-powered converters, where voltage levels vary continuously. The PV-powered converter and SMC system were simulated for these conditions. Also, the setup was implemented using the digital signal processor (DSP) TMS320F28335 to verify the proposed idea and simulation results. The inductance current variation and the load voltage of the converter were used as control variables for the SMC. The system's performance was investigated for different voltage variations of the converter, and simulated using different reference voltage values with the PV module as a voltage source. Total harmonic distortions (THD) for the converter were also investigated. The effects of voltage variations were observed, and the results were compared for the stability analyses. For the stability of the whole system, the Lyapunov stability analysis was used in this study. The mathematical equations to supply these criteria are given with the small signal analysis method. The simulation and experimental results overlapped with the theoretical expectation. The performance of the DSP in processing the SMC algorithm using the current and voltage feedback signals was observed experimentally.