研究目的
To design a closed loop control system that can tolerate uncertainty and enable maximum power extraction from a photovoltaic (PV) system in the presence of uncertainties.
研究成果
The proposed ISMC technique effectively achieves MPPT from a PV system under uncertainties, demonstrating robustness against environmental variations, load changes, and added uncertainties. The ISMC outperforms the Backstepping controller in terms of tracking speed, accuracy, and efficiency.
研究不足
The study assumes ideal switches and diodes in the buck-boost converter and zero resistances for inductors and capacitors for simplicity. The robustness of ISMC is validated under specific conditions of environmental variations and load changes.
1：Experimental Design and Method Selection:
The paper utilizes Integral Sliding Mode Control (ISMC) as a robust control mechanism against uncertainties affecting the PV system.
2：Sample Selection and Data Sources:
The study involves a PV system model affected by bounded uncertainty.
3：List of Experimental Equipment and Materials:
The PV system includes a buck-boost converter (BBC), PV panels, and variable resistive load.
4：Experimental Procedures and Operational Workflow:
The ISMC is designed to track a reference voltage for maximum power point tracking (MPPT), with simulations performed under varying environmental conditions and load.
5：Data Analysis Methods:
The performance of ISMC is compared with Backstepping controller (BSC) in terms of PV array output voltage, power, and efficiencies.
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