研究目的
To propose an improved maximum power point tracking algorithm based on fuzzy control method and differential flatness control theory for photovoltaic systems under partial shading conditions.
研究成果
The proposed MPPT algorithm based on fuzzy logic control and differential flatness control is robust, accurate, and stable, capable of quickly tracking the global maximum power point under partial shading conditions.
研究不足
The method requires many measurements and may have hardware implementation challenges due to model accuracy and external disturbances.
1：Experimental Design and Method Selection:
The study combines fuzzy logic control (FLC) and differential flatness control (DFC) for MPPT under partial shading conditions.
2：Sample Selection and Data Sources:
Uses a PV array with 3×3 size under two different shading conditions.
3：List of Experimental Equipment and Materials:
Includes PV simulator, boost converter, DSP28335 controller, current and voltage sensors.
4：Experimental Procedures and Operational Workflow:
The process involves stabilizing PV output at a low voltage, linearly increasing voltage to find MPP, tracking MPP with FLC, and monitoring current variations.
5：Data Analysis Methods:
MATLAB simulation and hardware experiments verify the algorithm's feasibility.
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